Method of searching for faulty module in discrete dynamic system |
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IPC classes for russian patent Method of searching for faulty module in discrete dynamic system (RU 2444774):
 Determination method for dynamic parameters of marine movement mathematical model / 2442718
FIELD: ship navigation. SUBSTANCE: invention refers to ship navigation and can be used for forecasting the ship movements in the course of maneuvering. The fore and backward points are conditionally used. The fore and backwards points are located on the centerline plane of the ship. On a real time basis the coordinates of the fore and backward points are measured. Measurement of the coordinates is fulfilled with the help of the static shear stress receivers and with differential corrections. On the basis of the coordinate measurement results the current values of kinematic movement parameters are determined: linear speeds of the fore F (υf) and backward A (υa) points and their longitudinal (υfx, υax) and lateral (υfy, υay) components in the moving coordinates ZX0Y connected with the ship; longitudinal centre of the rotation (x0) in the moving coordinates ZX0Y connected with the ship; projection of the linear speed vector in the centre of gravity on the y axis 0Y (υy); linear speed of the ship centre of gravity (υ); curvature of the gravity path (R); angular rate of the ship (ω). The obtained results are used for calculation of the current values of the dynamic parameters of the marine movement mathematical model. On the basis of the mathematical model computer modeling is performed in order to forecast the ship movements in the course of maneuvering. EFFECT: improvement of the accuracy of forecasting of the ship movements in the course of maneuvering on the basis of an adequate mathematical model of its travel. 3 cl, 1 dwg  Method of operating industrial plant, and industrial plant control system / 2440596
Proposed method controlling certain number of plant operating parameters and process component parameters and stored in memory unit. Note here that fatigue index inherent in current state of component fatigue is defined. Note also that forecast fatigue is defined. Besides, component with maximum forecast fatigue is identified as drive component, while for multiple preset changes of states, defined is drive component forecast fatigue. Mind that proceeding from certain forecast fatigue values, one of state changes is selected and initiated.
 Method to search for faulty block in dynamic system / 2439648
Response of an admittedly faultless system is registered at a control interval in control points, several integral estimates are determined for output signals of the system for various integration parameters, the produced integral estimates of output signals are registered; several deviations are determined in integral estimates of model signals for each of control points received as a result of trial deviations of block parameters, for this purpose a trial deviation is introduced alternately in each unit of a dynamic model; deviations of model signal integral estimates are determined, produced as a result of trial deviations of structural block parameters; rated values are determined for deviation of integral estimates of model signals, produced as a result of trial deviations of appropriate block parameters; a system with rated characteristics is substituted with a controlled one, integral estimates of controlled system signals are determined for control points and several integration parameters, deviations are determined for integral estimates of controlled system signals for control points from rated values, rated values are determined for deviations of integral estimates of controlled system signals.
 Method to search for faulty block in continuous dynamic system / 2439647
As opposed to the available method of searching for a faulty block in a continuous dynamic system, elements of topological links are determined for each block included into the composition of the system for each control point Pji, j=1, …, k; j=1, …, m, elements Pji are determined from multiple values {-1,0,1}, the value -1 is determined, if the sign of signal transfer from the output of the i block to the j control point is negative, the value 0 is determined, if transfer of a signal from the output of the i block to the j control point is not available, the value 1 is determined, if the signal of signal transfer from the output of the i block to the j control point is positive, rated values are determined for elements of the vector of topological links for each block, diagnostic criteria are calculated, and using minimum value of a diagnostic criterion, the defect is determined.
 Parameter control method of guided missile rotating about angle of roll, and automated control system for its implementation / 2438098
Parameter control method of guided missile rotating about angle of roll involves assignment of signals simulating the commands and rotation of missile about the roll angle, their supply to missile guidance control, comparison of current values of control commands at the outlet of control equipment with pre-set simulating values and evaluation as per comparison results of the compliance of controlled parameters with the specified ones, at which the simulating signal of missile rotation about roll angle is shaped in the form of two pulse signals. Pulse signals are offset relative to each other through 90°. At the required period of the beginning of control process there generated is the signal simulating the beginning of the guided missile flight, which is synchronised with the first front of one of two pulse signals, which corresponds to the beginning of shaping of the pitch command. Synchronised signals are allowed to shape pulse signals at the output of signal simulator of missile rotation about roll angle from the beginning of pitch command shaping; at that, from the beginning of signal shaping or its synchronisation there performed is time count during which the parameter control of guided missile is performed. Also, system for method's implementation is described.
 Method of searching for faulty unit in dynamic system / 2435189
Reaction of a good system fjnom(t) j=1,2,…,k is recorded on the interval t∈[0, TK] in k control points; integral estimations of output signals Fjnom(α), j=1, …,k of the system are determined, estimates of output signals Fjnom(α), j=1, …,k obtained from integration are recorded, integral transforms of dynamic characteristics of the model are determined for each of the k control points obtained from sample deviation of parameters of each of m units, deformations of integral transforms of model dynamic characteristics are determined, the system is replaced with nominal characteristics of the controlled system, an analogue test signal x(t) is transmitted to the input of the system, integral transforms of dynamic characteristics of the controlled system for k control points Fj(α), j=1,…, k for parameter α are determined, deviation of integral transforms of dynamic characteristics of the controlled system for k control points from nominal values ΔFj(α)=Fj(α)-Fjnom(α), j=1,…,k, is determined, normalised deviation values of integral transforms of dynamic characteristics of the controlled system are determined, diagnostic features are determined, and a faulty unit is determined by the minimum diagnostic feature.
 System for determining signal cycle breakdown configuration in flowmetre (versions), method of determining signal cycle breakdown configuration in flowmetre and machine-readable data medium / 2432594
Disclosed are inventions where cycle breakdown configuration during transmission and reception of signals in an acoustic flowmetre is determined, wherein transmission is carried out between corresponding converters of a group of pairs of converters. The propagation time of acoustic signals between corresponding converters of the group of pairs of converters is measured. A set error function values is calculated (each value of the error function is characteristic for the specific cycle breakdown configuration when measuring propagation time of acoustic signals) and the cycle breakdown configuration is determined using, at least partly, the set of error values.
 Device for measuring and monitoring relay and electric interlocking unit parameters / 2432593
Proposed engineering solution which employs feedback enables to correct measurements during each measurement without recourse to calibrating all channels. A stable feedback channel based on elements with highly stable parameters is sufficient. The technical result is achieved owing to that the device has a feedback channel which is included in the circuit between computers through an interface which is connected to the digital-to-analogue converter of the feedback, at the output of which there is an amplifier which is connected to a multichannel switch.
 Method for determining service life of component of power plant / 2431176
There proposed is method for determining service life of component of power plant with the following stages: determination of the first performance value for service life of power plant component at constant capacity; determination of the second performance value for service life of power plant component at varying capacity; determination of the first statement of equivalence, by means of which the pre-set operating mode of power plant component at constant capacity is represented depending on the number of the first performance values; determination of the second statement of equivalence, by means of which the pre-set operating mode of power plant component is represented depending on the number of the second performance values; determination of the number of the first and the second performance values obtained during actual operating mode of power plant component; determination of sum of the number of the first and the second performance values; taking the decision on service life on the basis of the determined sum.
 Apparatus for determining optimum programmes for system maintenance / 2429542
Device has a memory unit, two multipliers, three adders, a nonlineartity unit, a time sensor, four delay elements, a comparator unit, two dividers, a flip flop, four switches, a shift register, three rectifier diodes, an OR circuit, two subtractors, a monostable multivibrator, a memory element and an integrator.
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FIELD: physics. SUBSTANCE: unlike the existing method of searching for a faulty module in a continuous dynamic system, the reaction of a time-discrete system know to be properly functioning is recorded for discrete diagnosis cycles with pitch in control points; integral estimates of output signals are determined, for which at the moment of transmitting a test signal, discrete integration of signals is simultaneously initiated with pitch in each of the control points by transmitting signals to inputs of multiplier units, and a discrete exponential signal to second inputs of the multiplier units; output signals of the multiplier units are transmitted to inputs of the discrete integration units; integration is completed at the control instant; the obtained estimates are recorded; integral estimates of model signals are determined for each control point, for which a sample deviation of the parameter of the discrete transfer function is successively entered into each unit of the system and integral estimates of output signals of the system obtained as a result of integrating output signal estimates for each control point are found and each of the sample deviations is recorded; a defective module of the discrete system is determined by the minimum of the diagnostic feature. EFFECT: possibility of searching for defects in a discrete dynamic system. 1 dwg
The invention relates to the field of control and diagnostics of automatic control systems and their elements. There is a method of diagnosing dynamic parts of control systems (Patent RF №2110828, MKI6G05B 23/02, 1998), based on the integration of the output signal of the block with a weight of e-αtwhere α is a real constant. The disadvantage of this method is that its application for control of multiple units of a control system of an arbitrary structure leads to the necessity of integration of input and output signals of each of the controlled block. The closest technical solution (prototype) is a way of finding a bad block in a dynamic system (a Positive decision from 12.07.2010, for a patent on the invention under the application №2009123999/08(033242), MKI6G05B 23/02, 2010). The disadvantage of this method is that it enables the detection of defects only in a continuous dynamic system. Technical problem on which this invention is directed, is the application of the method to search for defects in a discrete dynamical system with an arbitrary connection blocks. This object is achieved in that pre-register response known good discrete-time system fj(t), j=1, 2, ..., k for N discrete the acts diagnosis t∈[1,N] with discrete spaced T sin the observation interval [0,Tk] (where Tk=Ts·N) in the k control points, and define the integral evaluation of the output signals replace the system with a nominal characteristics controlled at the input of the system serves a similar test signal x(t), define the integral evaluation of the signals controlled discrete system for the k control points Fj(α), j=1, ..., k for parameter discrete integral transforms α, determine the deviation of the integral estimates of the signals controlled discrete system for the k control points from the nominal values ∆ Fj(α)=Fj(α)-Fj(α), j=1, ..., k, define the normalized Delta values of the integral estimates of the signals controlled discrete system of ratios determine diagnostic characteristics from which otnosheniya the minimum values of the diagnostic sign determines the ordinal number of the defective block. The essence of the method consists in the following. The method is based on the use of pilot deviations of the model parameters of discrete dynamic systems. Using the vector interpretation of expression (3), we write it as follows where φi(α is the angle between the normalized vector (a vector of unit length) of the variance of the integral estimates of signals discrete object Thus, the normalized diagnostic feature (3) represents the value of the square of the sine of an angle formed in the k-dimensional space (where k is the number of control points) of the normalized vectors of integral estimates test for deviation of the signals of the discrete model and the variance of the integral estimates of the discrete signals of the diagnostic object. Trial deviation parameter of the corresponding structural unit that minimizes the value of the diagnostic sign (3), shows the defective unit. The region of possible values of the diagnostic characteristic lies in the interval [0, 1]. Thus, the proposed method of finding the defective block is to perform the following operations: 1. As a discrete dynamical system consider the system, for example with discrete zero-order interpolation, with sampling interval Ts, consisting of randomly connected dynamic blocks, number of single defects m blocks. 2. Pre-determine the testing time Tto≥TPPwhere TPPthe time transition of the discrete system. Transition time estimate for the nominal values of the parameters of the dynamic system. 3. Define the parameter integral transforms of the signals from the relation 4. Record the number of control points k. 5. Pre-determine the normalized vectors 6. Serves the test signal x(t) (unit step, linearly increasing, rectangular pulse and so on) to the input of the control system with the nominal essence and the ticks. Fundamental limitations on the type of input test the impact of proposed method does not. 7. Record the response of the system fj(t), j=1, 2, ..., k on the interval t∈[1,N] with discrete steps Tsseconds on the observation interval [0,Tk] (where Tk=Ts·N) in the k control points define discrete integral evaluation of the output signals 8. Define the integral evaluation of the signals of the discrete model d is I to each of the k control points, the resulting trial deviations of each of the m single defect blocks, which in turn, for each structural parameter block discrete dynamical system is administered trial deviation of this parameter discrete transfer function and perform paragraphs 6 and 7 for the same test signal x(t). The resulting discrete integration with a step of Tsseconds, the evaluation of the output signals for each of the k control points and each of the m test deviations 9. Determine the deviation of the integral of the estimated signals of the discrete model, the resulting trial deviations of one structural unit ΔPji(α)=Pji(α)-Fj(α), j=1, ..., k; i=1, ..., m. 10. Define the normalized Delta values of the integral estimates of signals discrete model, the resulting trial deviations of one block according to the formula: 11. Replace the system with a nominal characteristics controlled. At the input of the system serves a similar test signal x(t). 12. Define the integral evaluation of the signals controlled discrete system for k checkpoint 13. Determine the deviation of the integral estimates of the signals controlled discrete system for the k control points from the nominal values ∆ Fj(α)=Fj(α)-Fj(α), j=1, ..., k. 14. Calculate the normalized values of the variance of the integral estimates of the signals controlled discrete system according to the formula: 15. Calculate the diagnostic signs of faulty structural unit according to formula (3). 16. The minimum values of the diagnostic sign determine the defective block. Consider the implementation of the proposed method of finding the defect for discrete-time systems, block diagram of which is presented on the figure (see Fig. Block diagram of the diagnostic object). Discrete transfer function block:
rated: K1=5; Z1=0.98; K2=0.09516; Q2=O.9048;3=0.0198; Q3=0.9802. When you search for a single structural defect in the form of deviation of the gain by 20% (k1=4) in the first link, when the flow speed of the test input signal of unit amplitude and the integral of the estimated signals for parameter α=0.5 and Tto=10, using three control points located at the outputs of blocks, use the I trial deviation to a value of 10%, the obtained values of diagnostic signs by the formula (3): J1=0; J2=03587; J3=0.1605. The analysis values of the diagnostic signs shows that the defect in the first structural unit of the controlled system is correct. It should be noted that the method is operable at larger values of the test deviations (10-40%). The limitation on the amount of trial deviation is the need to preserve the stability of models with a trial deviations. Search single structural defects according to the proposed method as applied to discrete diagnostic object, represented in the figure, consists of the following operations: 1. Record the number of controlled single defects m=3. 2. By analyzing the graphs of the nominal transient characteristics determine the transition time of the system. For this example, the transition process is TPP=8 C. Record the time of control Tk≥TPP. For this example, Tk=10 S. 3. Define the parameter signal integration 4. Fixed reference point on the outputs of blocks: k=3. 5. Pre-find elements of vectors ΔPi(α) variance of the integral of the estimated signal model obtained in the course of the trial the deviations of all controlled single defects. The value trial variance is chosen equal to 10%. 6. Find the normalized vectors 7. Replace the system with a nominal characteristics controlled, which entered the variance parameter of the first unit from the nominal 20%. At the input of the system serves a similar test signal x(t). 8. Determine the deviation of the integral of the estimated signals of the controlled system for the three control points from the nominal values ∆ Fj(α)=Fj(α)-Fj(α), j=1, 2, 3. 9. Calculate the normalized values of the variance of the integral of the estimated signals of the controlled system 10. Calculate the diagnostic signs of faulty units by the formula (3): J1=0; J2=0.3587; J3=0.1605, where J1indicates a defect in the first block, J2accordingly indicates a defect in the second, J3- defect in the third block. 11. The minimum values of the diagnostic sign determine the defect (in this case, the defect in the first structural unit). Modeling processes to identify structural defects in other cases, his manifestation for this di the specific object of diagnosis for the same parameter integral transforms α and unit step input signal gives the following values of diagnostic features. If there is a defect in the unit 2 (in the form of reducing the parameter k220%defect No. 2): J1=0.3557; J2=0; J3=0.6732. If there is a defect in the unit 3 (in the form of reducing the parameter k320%defect No. 3): J1=0.1652; J2=0.668; J3=0. The minimum value of the diagnostic sign in all cases correctly points to the defective block. The way of finding a bad block in a discrete dynamic system, based on the fact that a fixed number m of dynamic elements included in the system, determine the testing time Tto≥TPPdetermine the parameter integral transforms of the signals from the relation
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