Method of searching for faulty unit in discrete dynamic system. RU patent 2506623.
 Method of finding faulty units in discrete dynamic system / 2506622Field of application can be monitoring and diagnosis of automatic control systems and components thereof. The reaction of an operable time-discrete system is recorded for discrete diagnosis cycles with a discrete constant step on an observation interval at control points, and integral estimates of output signals of the discrete system are determined, for which at the moment of transmitting a test or operating signal to the input of the discrete system with nominal characteristics, discrete integration of signals of the control system is simultaneously started with a step at each control point with a weight function equal to the arithmetic average value of moduli of derivatives of its signals at the control points, where averaging is carried out based on the number of control points. To this end, system signals are transmitted to first inputs of multiplier units, the average arithmetic value of moduli of time derivatives of signals are transmitted to the second inputs of the multiplier units, output signals of the multiplier units are transmitted to the inputs of the units for discrete integration with a step, discrete integration is completed at a moment in time, estimates of output signals resulting from integration are recorded, the number of considered single and multiple defects of units is determined, integral estimates of model signals for each control point obtained as a result of test deviations for single and multiple defects of units are determined, for which the test deviation of the parameter of the discrete transfer function is successively input into each unit or combination of units of the discrete dynamic system and integral estimates of output signals of systems with test deviations for the same test signal or operating signal are found, output signal estimates obtained as a result of discrete integration for each control point and each test deviation are recorded, deviations of integral estimates of signals of the discrete model obtained as a result of test deviations of parameters of different structural units or combinations of units are determined, standardised values of deviations of integral estimates of signals of the discrete model obtained as a result of test deviations for single or multiple defects are determined, an analogue test signal or operating signal is transmitted to the input of the controlled system at the beginning of control, integral estimates of signals of the controlled discrete system for control points are determined, the obtained values are recorded, the deviations of integral estimates of signals of the controlled discrete system for control points from nominal values are determined, the standardised values of deviations of integral estimates of signals of the controlled discrete system are determined, diagnostic features are determined, the serial number of the defective unit or combination of defective units is determined from the minimum value of the diagnostic feature. |
 System of automatic operability control and fault diagnostics of electronics / 2504828System comprises a unit being controlled which consists of a controlled unit identifier, a set of software-controlled sources of input test signals, a set of response signal parameters' meters, a computer, a replaceable adapter including an adapter identifier; the identifier inputs are connected to the outputs of supplementary test channels at software-controlled sources of input test signals, and the identifier outputs are connected to the inputs of the supplementary channels of the response signal parameters' meters. |
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 System to control at least one drive of thrust reverser bonnets for turbojet engine and method of system testing / 2492518Control facilities comprise testing facilities that include an interface designed for reception of requests for testing from a user. Testing facilities are made so that whenever a testing request is received, they initiate a cycle of testing of one or several components of the system, including actuation of a component or components separately from other components of the system. |
 Method for automatic performance monitoring and diagnosing faults in communication electronic equipment / 2488872Method is based on applying systems for automatic monitoring of performance and diagnosing faults in communication electronic equipment. Before the beginning of inspection, combinations of polling signals are respectively transmitted to inputs of the removable adapter identifier and the control object identifier, installed on the removable adapter and the control object; identification signals are measured and used to generate identification codes; the generated identification codes are transmitted to a computer; the connected control object is identified; the obtained identification code (with the removable adapter identifier) is compared with the code of the type of the removable adapter to be used in monitoring said type of control object; the computer generates a message on authenticity of the used adapter and its fitness to conduct the monitoring and diagnosis process. |
 Apparatus for detecting faults in standby system / 2487389Invention involves generating signals signalling faults in components of standby radio automation systems and automatic aircraft control systems. The apparatus has an working element, three subtractors, two comparing elements, four threshold devices, two NOT elements, two AND logic elements, an OR logic element and a fault display device. The inputs of the first threshold device and the second threshold device are connected to outputs of the working element. The outputs of the first subtractor are connected to the series-connected third threshold device, first AND logic element, OR element and fault display device. The outputs of the second subtractor are connected to the series-connected fourth threshold device, second AND logic element, OR element and fault display device. The outputs of the first threshold device are connected to the third subtractor and the second input of the fault display device. The outputs of the second threshold device are connected to the second input of the third subtractor and the first NOT element. The first NOT element is connected to the third input of the fault display device. The input of the second NOT element is connected to the output of the third subtractor. The output of the second NOT element is connected to second inputs of the first and second AND logic elements. |
 Method to search for faulty block in discrete dynamic system / 2486570Previously a reaction of a knowingly good system is registered for discrete beats of diagnostics with discrete permanent pitch in the observation interval at reference points, and integral estimates of output signals of the discrete system are determined. For this purpose at the moment of test signal supply to the inlet of the discrete system with rated characteristics, simultaneously discrete integration of control system signals is started with the pitch in seconds in each of the reference points with discrete weights, by supplying of control system signals to the first inlets of the multiplication blocks. A discrete exponential signal is supplied to the second inputs of the multiplication blocks with the pitch in seconds, output signals of the multiplication blocks are supplied to the inputs of the discrete integration blocks with the pitch in seconds, discrete integration is completed at the moment of time. Estimates of output signals produced as a result of integration are registered. The number of the system blocks is fixed, elements of topological links of each block within the discrete system for each reference point are determined, elements are determined from many values {-1,0,1}, the value - 1 is defined, if the sign of signal transfer from the output of the i block to the j reference point is negative. The value 0 is determined, if signal transfer from the output of the i block to the j reference point is not available, the value 1 is determined, if the sign of signal transfer from the output of the i block to the j reference point is positive. Then the rated values of the vector of topological links for each block are defined, the system with rated characteristics is replaced with the controlled one, an identical test signal is supplied to the system inlet. Integral estimates of signals of the controlled discrete system are determined for reference points for a parameter of discrete integral conversion, deviations of integral estimates of signals of the controlled discrete system are defined for reference points from rated values. Rated values are determined for deviations of integral estimates of signals of the controlled discrete system, diagnostic criteria are determined, by the minimum of the value of the diagnostic criterion a serial number of a defect block is determined. |
 Method to search for faulty block in discrete dynamic system / 2486569Previously a reaction of a knowingly good time-discrete system is registered for discrete beats of diagnostics with discrete permanent pitch in the observation interval at reference points, and integral estimates of output signals of the discrete system are determined repeatedly (simultaneously) for the values of the discrete integration parameter. For this purpose at the moment of test signal supply to the inlet of the discrete system with rated characteristics, simultaneously discrete integration of control system signals is started with the pitch in seconds for integration parameters in each of the reference points with weights with the pitch in seconds, by supplying of control system signals to the first inlets of the multiplication blocks. Discrete exponential signals are supplied to the second inputs of the multiplication blocks with the pitch in seconds for discrete integration blocks, output signals of the multiplication blocks are supplied to the inputs of the discrete integration blocks with the pitch in seconds. Integration is stopped at the moment of time, estimates of output signals produced as a result of discrete integration are registered. The number of considered single defects of blocks is fixed, integral estimates of model signals are determined for each of the reference points and parameters of discrete integration, produced as a result of test deviations of parameters of each block. For this purpose in turns for each block of the discrete dynamic system they introduce test deviation of the parameter of its discrete transfer function, and integral estimates of output signals of the system are found for parameters of discrete integral conversions and the test signal. Estimates of output signals produced as a result of discrete integration for each of the reference points, every test deviation and every parameter of discrete integration are registered. Deviations of integral estimates of discrete model signals are determined, being produced as a result of test deviations of parameters of appropriate structural blocks, the rated values of deviations of integral estimates of discrete model signals are determined, being produced as a result of test deviations of parameters of appropriate blocks for parameters of discrete integration. The system with rated characteristics is replaced with a controlled one, an identical test signal is supplied to the inlet of the system, integral estimates are determined for signals of the controlled discrete system for reference points and for parameters of the discrete integration. Deviations of integral estimates of controlled discrete system signals are determined for reference points and parameters of discrete integration from rated values. Rated values of deviations of integral estimates of controlled discrete system signals are determined for parameters of discrete integration, diagnostic criteria are determined with parameters of discrete integration, by the minimum value of the diagnostic criterion, a faulty block is determined. |
 Method for determination of failed transducer in excess system / 2244954The method is based on a periodic check-up of relation between the measured parameters of motion characterizing the correct operation of the transducers, fixation of the moment of failure of the relation, comparison of the readings of the transducers at this moment and at the moment preceding the moment of disturbance of the relation, and determination of the failed transducer by the results of the comparison. |
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 Computer-based instrumentation / 2250565Proposed equipment includes personal computer, multiplexing switch, circuit checkup unit, control unit, multichannel comparison unit, virtual standard, switching unit, output signal shaper, multiplexer, and normalizing unit that has voltage meter and circuit meter. |
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 Automated control and diagnostic complex (variants) / 2257604First variant of complex includes control computer, mating block, commutator, local data exchange main, tests forming block, logical analyzer, signature analyzer, synchronization block, digital oscillographs block, special form signals programmed generators block, programmed power-sources block. Second variant of complex additionally includes block for forming high-frequency test signals and block for measuring high-frequency signals. |
 Digital identifier of accumulators charge parameters / 2258952Device has first and second analog-digital converters, first and second coefficients forming blocks, first and second multiplication blocks, counter, first and second integrator, control effect forming device, division block, buffer and registering block, while coefficients forming blocks are made in form of digital filters and all remaining blocks of device are made digital. |
 Device for controlling analog objects / 2262128Device has block for forming control and stimulation signals, block for forming standard signals, multiplication blocks, frequency transformer, phase rotator, commutator, frequencies grid generator, integrators, blocks for square involution, adder, normalization block, key, analog-digital converter, comparison circuits, memory blocks, registers, information output block, interval estimation block (for setting lower and upper limits of trust range for each measured value of mutual difference coefficient of distorted and standard signals) and block for analysis of number of support values of mutual difference coefficient (to exclude from further processing results of measurements, for which within limits of trust interval number of support values of coefficient exceeds allowed limit). |
 Method for diagnosing equipment / 2265236Method includes, for each set of input test signals, forming of prior matching response signals for intermediate points of controlled device. Received response signals at outputs of product are compared to parameters of standard response signals and level of their match is determined, in case of mismatches broken branch of functional circuit is determined and diagnostics is repeated by substituting all formed combinations of input signals, after that diagnostics of erratic portions is started. |
FIELD: physics; control.
SUBSTANCE: field of application can be monitoring and diagnosis of automatic control systems and components thereof. The reaction of an operable time-discrete system is recorded for discrete diagnosis cycles with a discrete constant step on an observation interval at control points, and integral estimates of output signals of the discrete system are determined, for which at the moment of transmitting a test or operating signal to the input of the discrete system with nominal characteristics, discrete integration of signals of the control system is simultaneously started with a step at each control point with a weight function equal to the arithmetic average value of moduli of derivatives of its signals at the control points, where averaging is carried out based on the number of control points. To this end, system signals are transmitted to first inputs of multiplier units, the average arithmetic value of moduli of time derivatives of signals are transmitted to the second inputs of the multiplier units, output signals of the multiplier units are transmitted to the inputs of the units for discrete integration with a step, discrete integration is completed at a moment in time, estimates of output signals resulting from integration are recorded, the number of considered individual defects of units is determined, integral estimates of model signals for each control point obtained as a result of test deviations for individual defects of units are determined, for which the test deviation of the parameter of the discrete transfer function is successively input into each unit of the discrete dynamic system and integral estimates of output signals of systems with test deviations for the test signal or operating signal are found, output signal estimates obtained as a result of discrete integration for each control point and each test deviation are recorded, deviations of integral estimates of signals of the discrete model obtained as a result of test deviations of parameters of different structural units are determined, standardised values of deviations of integral estimates of signals of the discrete model obtained as a result of test deviations for individual defects are determined, an analogue test signal or operating signal is transmitted to the input of the controlled system at the beginning of control, integral estimates of signals of the controlled discrete system for control points are determined, the obtained values are recorded, the deviations of integral estimates of signals of the controlled discrete system for control points from nominal values are determined, the standardised values of deviations of integral estimates of signals of the controlled discrete system are determined, diagnostic features are determined, the serial number of the defective unit is determined from the minimum value of the diagnostic feature.
EFFECT: broader functional capabilities of the method by applying operating diagnosis (without using test input), higher noise-immunity of the method of diagnosing discrete automatic control systems by improving distinguishability of defects and lower hardware costs on calculating the weight function.
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The invention relates to the field of control and diagnostics of automatic control systems and their elements.
There is a method to find the defective unit in dynamical system (Patent №2451319 from 20.05.2012 the application №2011129533/08(043690), MCI 6 G05B 23/02, 2011).
The disadvantage of this method is that it provides detection of defects only in continuous dynamic system.
The closest technical solution (prototype) is a way to find the defective unit in a discrete dynamical system (Patent №2444774 from 10.03.2012 the application №2011101271/08(001575), MKH 6G05B 23/02, 2011).
The disadvantage of this method is that it involves the integration of special test signals using an exponential weighting function and provides detection of defects with low , that is, has a low noise immunity.
Technical task, the solution of which was given invention is to expand the functional capabilities of the method by applying a working diagnosis (without using test impact), increase noise immunity method of diagnosis of discrete systems of automatic control by improving the visibility of the defects and the reduction of hardware costs for the computation of the weight function. This is achieved by replacing the exponential weighting function function, which is the arithmetic mean of modules derivatives on a time signal system with nominal characteristics of the controlled system and models with a trial deviations.
The task is achieved by the fact that pre-register reaction known good discrete-time system f j (t),j=1,...,k N discrete quanta diagnosing t belongs to the interval[1, N] with a discrete constant step T s on the observation interval [0,T k ] (T k =T s ·N) k control points, and define the integral estimates of output signals
, j=1,...,k discrete system, which at the time of filing of the test or working signal to the input of a discrete system with nominal characteristics simultaneously begin discrete integration of signals of the system control with step T s seconds in each of the k control points with weight function, equal to the arithmetic mean modules derivatives its signals in the control points, where the averaging is performed by the number of checkpoints k. To do this, on the first inputs k blocks multiplying the signals of the system, on the second inputs blocks multiplication serves the arithmetic average of the meaning of the modules derivatives on a time signals output signals k blocks of multiplication serves on inputs k blocks of the discrete integration with step T s seconds, discrete integration of complete at the moment of time T k obtained as a result of integrated assessment of the output signal f j (d), j=1,...,k register, register the number m of the considered single defects blocks define the integral estimates of signals model for each of the k control points obtained in the result of the trial of deviations for m single defects blocks, for which alternately in each block of discrete dynamical the system is administered trial deviation discrete parameter transfer function and find integral estimates of the output signals from systems with a trial deviations when the same test or production signal x(t)obtained as a result of discrete integration assessment of the output signals for each of the k control points and each of the m pilot deviations
, j=1,...,k; i=1,...,m register, determine the deviations integrated assessments signals the discrete model obtained in the result of pilot deviations of parameters of different structural units DP ji (d)=P ji (d)-F j (d), j=1,...,k; i=1,...,m, determine the normalized values of integral estimates of signals discrete model obtained in the result of pilot deviations for single defects from relation
at the moment of the beginning of the control t=1 the entrance of the controlled system serves a similar test or production signal x(t), define the integral estimates of signals discrete controlled systems for k checkpoint F j (d), j=1,...,k, the values obtained for the record, identify deviations integrated assessments signals discrete controlled systems for k checkpoint from the nominal values F j (d)=F j (d)-F j (d), j=1,...,k determine the normalized deviation values of integral estimates of signals controlled discrete system of ratios
determine the diagnostic signs of a correlation
the minimum values of diagnostic character determine the serial number of the defective unit.
The essence of the proposed method consists in the following.
The method is based on the use of pilot deviations of parameters of models of discrete dynamical system. To obtain diagnostic signs of dynamic elements are integral estimates on the time interval T k k checkpoints
The weight function in formula (4) as the average value of modules derived signals in the control points carries information about the importance of time in terms of speed signal changes in all the test points. More than the average rate of change of the signal, the more weight integrates output signal.
Using the vector interpretation of expression (3), we can write it in the following form
where f i (d) is the angle between the normalized vector (vector of unit length) deviations integrated assessments signals discrete object
and normalized vector of unit length) deviations integrated assessments signals the discrete model
obtained in the course of the trial deviation of the i-th parameter of the respective structural unit.
Thus, standardized diagnostic attribute (3) represents the value of the square of the sine of the angle formed by the k-dimensional space, where k is the number of control points) normalized vectors integrated assessments trial deviations signals the discrete model and deviations integrated assessments signals discrete object diagnosis.
A trial of the variance of the respective structural unit that minimizes the value of the diagnostic indicator (3), indicates a fault with the unit. The range of possible values of diagnostic character lies in the interval [0, 1].
Thus, the proposed method to find the defective unit consists of the following operations:
1. As discrete dynamical systems consider a system, for example with selectable interpolation zero-order sampling T s , consisting of randomly United dynamic blocks, the numbers of single defects blocks m.
2. Pre-determine the control time T >T PP , where
T PP transition time discrete system. Transition time estimate for nominal values of the parameters of the dynamic system.
3. Record the number of control points k.
4. Simultaneously serves the input signal x(t) (single step, linearly increasing, rectangular pulse etc. for entrance control systems with nominal characteristics, at the entrance of the controlled system, the inputs m models with nominal parameters, each of which introduced trial variation of the parameters of one block so that the i-th system introduced trial deviations in the i-th block. Major restrictions on the type of input the impact of the proposed method does not.
5. Simultaneously record the response of the system f j (t), j=1,...,k in the interval t belongs to the interval[1,N] in discrete steps T s seconds on the observation interval [0, T k ] (T k =T s ·N) k checkpoints and define discrete integral estimates of the output signals
, j=1,...,k systems with nominal characteristics of the controlled system F j (d), j=1,...,k models with a trial deviations in the i-th block P ji (d), j=1,...,k; i=1,...,m (formula 4). For this purpose at the moment when the input signal is simultaneously begin discrete integration of signals of the system control with step Ts seconds in each of the k checkpoint system with nominal characteristics of the controlled system, models with a trial deviations of the parameters of the blocks with the weight function, equal to the arithmetic mean modules derived signals in the control points, where the averaging is performed by the number of control points, for which output signals of each system serves on the input k blocks multiplication on the second inputs blocks multiplication serves average modules derivatives signal system at control points, where the averaging is performed by the number of control points output signals of the system, weekend signals k blocks - multiplication serves on inputs k blocks of the discrete integration with step T s seconds, discrete integration of complete at the moment of time T k obtained as a result of discrete integration with step T s seconds to judge the output signal F j (d) , j=1,...,k, F j (d), j=1,...,k, P ji (d), j=1,...,k; i=1,...,m register.
6. Define deviations integrated assessments signals discrete models obtained in the result of pilot deviations of parameters of one structural unit P ji (d)=P ji (d)-F j (d), j=1,...,k; i=1..., m.
7. Determine the normalized deviation values of integral estimates of signals discrete models obtained in the result of pilot deviations of parameters of a single block under the formula:
8. Define deviations integrated assessments signals discrete controlled systems for k checkpoint from the nominal values F j (d)=F j (d)-F j (d), j=1,...,k,
9. Calculate the normalized deviation values of integral estimates of signals controlled discrete system by the formula:
10. Calculate the diagnostic signs of faulty structural unit according to the formula (3).
11. The minimum values of diagnostic character determine the defective unit.
Consider the implementation of the proposed method of finding the defect for a discrete system block diagram is shown in figure 1.
Discrete transfer function blocks:
; ,where the nominal values of the parameters: k 1 =5; Z 1 =0.98; k 2 =0.09516; Q 2 =0.9048; k 3 =0.0198; Q 3 =0.9802.
When modeling the input signal will use a pseudo-random signal (when modeling was used block of Band-Limited White Noise in Matlab). The time control will choose T k equal to 10 s.
The magnitude of the trial deviations of parameters of models of select equal to 10%.
Modeling of processes of search of defects in block 1 (in the form of reduction of the parameter k 1 20%), yields diagnostic signs according to the formula (3): J 1 =0, J 2 =0.184, J 3 =0.2361.
The clarity of the defect: J 2 J 1 =0.184.
For comparison, the diagnostic signs of a bad block with exponential weights when one parameter of integration?=0.5 (Patent №2444774 from 10.03.2012 the application №2011101271/08(001575), MCI 6 G05 23/02, 2011):
J 1 =0, J 2 =0.3587, J 3 =0.1605. The clarity of the defect
J=J 3-J 1 =0.1605.
These results show that the actual conspicuity of finding defects in this way above, therefore, the higher will and robustness of the method.
Modeling of processes of search of defects in block 2 (in the form of reduction of the parameter k 2 20%) for this object diagnosing the use of differential weight and with the same input signal gives the following values of diagnostic characteristics:
J 1 =0.173, J 2 =0, J 3 =0.6335.
The clarity of the defect: J=J 1 J 2 =0.173.
For comparison, the diagnostic signs of a bad block with exponential weights when one
parameter integration?=0.5: J 1 =0.3557, J 2 =0, J 3 =0.6732.
The clarity of the defect: J=J 1 J 2 =0.3557.
Modeling of processes of search of defects in block 3 (in the form of reduction of the parameter k 3 20%) for this object diagnosing under the same conditions gives the following values:
J 1 =0.2457, J 2 =0.6634, J 3 =0.
The clarity of the defect: J=J 1-J 3 =0.2457.
For comparison, the diagnostic signs of a bad block during a single parameter of integration?=0.5:
J 1 =0.1652, J 2 ,=0.668, J 3 =o.
The clarity of the defect J=J 1-J 3 =0.1652.
The minimum value of diagnostic character in all cases, correctly points to a defective power, and the way in two cases out of three improves the clarity of the actual defects therefore increases the immunity of diagnosis. In addition, the proposed method allows to carry out diagnostics of the condition of the real functioning of the object of diagnosis (working diagnosis).
1. Way to find the defective unit in a discrete dynamical system, based on the fact that a record number of k checkpoint system, record the number m of dynamic elements of the system, define the control time T >T PP , use an input signal x(t) on the interval t belongs to the interval[0, T K ], record the response object diagnosing and reaction known good system F j (t), j=1,...,k N discrete quanta diagnosis with discrete constant step T s on the observation interval [0, T k ] (T k =T s ·N) k control points, fix the number of various pilot deviations m, define the integral estimates of signals model for each of the k control points obtained in the result of the trial of deviations for m single defects blocks, for which alternately in each block of discrete dynamical systems impose a trial deviation discrete parameter transfer function and find integral estimates of output signals of the system for the input signal x(t)obtained as a result of discrete integration assessment of the output signals for each of the k control points and each of the m pilot deviations register, determine the deviation of the integral estimates of signals discrete models obtained in the result of pilot deviations determine the normalized deviation values of integral estimates of signals discrete models obtained in the result of pilot deviations determine deviations integrated assessments signals discrete controlled systems for k checkpoint from the nominal values, calculate the normalized deviation values of integral estimates of signals discrete controlled systems, at a minimum diagnostic indicator determine the defective unit discrete system, characterized in that simultaneously serves test or production signal x(t) of the system input rating, at the entrance of the controlled system, the inputs m models with nominal characteristics, each of which introduced trial variation of the parameters of one block so that the i-th system impose trial deviations in the i-th block, as the dynamic characteristics of the system used integral estimates for the weight function equal to the average of the modules derivative on time from the output signals of the system in the different control points from the relation
,define integral estimates of output signals F j (d), j=1,...,k system rating, which in the time of filing of the test or working signal to the system input rating simultaneously begin the integration of signals of the system in each of the k control points for weight function, by applying the input k blocks of multiplication of the signal system on the second inputs blocks multiplication serves the arithmetic average of the modules derivative on time from the output signals of the system with a rated output signals k blocks of multiplication serves on inputs k blocks of integration, the integration is completed in time T , obtained as a result of integrated assessment of the output signal F j (d), j=1,...,k register, similar to determine the integral estimates of signals m models for each of the k control points obtained in the result of pilot deviations of parameters of each of the m blocks received as a result of integrated assessment output signals for each of the k control points, each of the m pilot deviations P ji (d), j=1,...,k; i=1,...,m register, determine the deviation of the integral estimates of signals discrete models obtained in the result of the trial deviations of parameters of one structural unit P ji (d)=P ji (d)-F j (d), j=1,...,k; i=1,..., m., determine the normalized deviation values of integral estimates of signals discrete models obtained in the result of pilot deviations of parameters of a single unit by the formula
define deviations integrated assessments signals discrete controlled systems for k checkpoint from the nominal values F j (d)=F j (d)-F j (d), j=1,...,k. calculate the normalized deviation values of integral estimates of signals controlled discrete system by the formula:
. similarly define the integral estimates of the signals m models for each of the k control points obtained in the result of pilot deviations of parameters of each of the m blocks received the normalized values of integral estimates of signals used to calculate diagnostic signs
, i=1,...,m.