Method of searching for faults in dynamic unit in continuous system |
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IPC classes for russian patent Method of searching for faults in dynamic unit in continuous system (RU 2450309):
 Method of searching for faulty module in discrete dynamic system / 2444774
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.
 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.
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FIELD: physics. SUBSTANCE: reaction of a properly operating system to an input action is first recorded on an interval at control points at discrete moments in time; output signals of a model for each of the control points obtained as a result of trial deviations of parameters of all units are determined, for which trial deviation is successively introduced into each transfer function parameter for all units of the dynamic system and output signals of the system are found for the same input action; the resultant output signals for each of the control points and each of the trial deviations at discrete moments in time are picked up; deviations of signals of the model, which are obtained as a result of trial deviations of corresponding parameters of all structural units from the reaction of the properly operating system are determined; the system with nominal characteristics is replaced with the controlled system; a similar test signal is transmitted to the input of the system; signals of the controlled system for control points at discrete moments in time are determined; deviations of signals of the controlled system for control points at discrete moments in time from nominal values are determined; diagnostic features for each of the parameters are determined from the relationship; a faulty parameter is determined from the minimum value of the diagnostic feature. EFFECT: improved noise-immunity of the method of searching for parametric defects in continuous automatic control systems by improving distinguishability of defects and broader functional capabilities of the method of finding faults in form of deviations of transfer function parameters of units of an arbitrary structure in a dynamic system with arbitrary connection of units. 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 it applies only to control the parameters of aperiodic link of the first order. The closest technical solution (prototype) is a device for monitoring the parameters of parts of control systems (Patent RF №2173873, MKI6G05B 23/02, 2001). The disadvantage of this method and device is that they are applicable only to diagnose aperiodic first order, second aperiodic order and vibrational levels. Technical problem on which this invention is directed, is to improve the noise immunity of the way search parametric defects in continuous automatic control systems by improving the distinctiveness of defects and the increased functionality of the method for finding faults in the form of deviations of the parameters of the transfer functions of the blocks of arbitrary structure in a dynamic system with an arbitrary connection blocks. P the set objective is achieved by that pre-register response of a known good system fj(tl), j=1, ..., k; l=1, ..., n in the interval tl∈[0, Tto] k control points at n discrete points in time on the input action x(t), determine the output signals of the model for each of the k control points obtained in the course of the trial deviations m parameters of all blocks, which in turn in each parameter transfer functions of all blocks of the dynamic system is administered trial deviation and find the output signals of the system for the same input action x(t), the resulting output signals for each of the k control points, and each of m trial variance in n discrete time points Pji(tl), j=1,..., k; i=1,..., m; l=1,..., n register, define the deviation signal model, the resulting trial variance of the corresponding parameters of all the structural units from the reaction of a known good system Δji(tl)=Pjt(tl)-Fj(tl), j=1,..., k; i=1,..., m; l=1,..., n, replace the system with a nominal characteristics controlled at the input of the system serves a similar test signal x(t), determine the signals of the controlled system for the k control points in n discrete time points Fj(tl), j=1,..., k; l=1,..., n, define the deviation signals of the controlled system is neither for k checkpoint at n discrete points in time from the nominal values ΔFj(tl)=Fj(tl)-Fj(tl), j=1,..., k; l=1,..., n, determine diagnostic characteristics for each of the m parameters of the correlation the minimum values of the diagnostic sign determine the faulty parameter. The expression (1) can be represented in the form: where Diagnostic indication (2) lie in a fixed interval of values [0,1], so the appearance of two parametric defects can be estimated as the difference between the values of the corresponding attributes. Graphical interpretation of diagnostic characteristic is the following: since in square brackets in expression (2) recorded the scalar product of two vectors of unit length dimension k*n (k is the number of control points, n is the number dyskretny time values), then the expression in square brackets is the cosine of the angle between these vectors, hence the expression (2) can be replaced by the expression: where φi- the angle between the vector of unit length deviation signal OD from the nominal vector of unit length deviations from the nominal signal model with a trial change of the i-th parameter. The actual appearance of the i-th parametricsurface is determined by the formula:
where Ji- the characteristic value of the i-th present in the object parametric defect, Jk- the value closest to it in the value attribute. Let us introduce also the notion of structural distinctiveness of the i-th parametric defect as the difference:
where Ji- the characteristic value of the i-th present in the object parametric defect, Jb- is the nearest largest characteristic parametric defect located in another dynamic element OD. We show that this method allows you to find defects not only with the depth of the structural unit, but also with the depth parameter of the corresponding 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 a continuous dynamical system. Trial deviation of the parameter that minimizes the value of the diagnostic sign (1) or (2), indicates the presence of the defect in this argument. The region of possible values of the diagnostic characteristic lies in the interval [0,1]. Thus, the proposed method of Troubleshooting is to perform the following operations. 1. As dynamic systems consider a system consisting of randomly connected dynamic e the cops, transfer functions which contain the amount of m parameters. 2. Pre-determine the testing time TK≥TPPwhere TPP- time transition system. Transition time estimate for the nominal values of the parameters of the dynamic system. 3. Record the number of control points k. 4. Pre-determine the vector ΔPi(tl) variance of the signal model in the l-th discrete time points, the resulting trial variance of the i-th parameter of each of the m parameters of all blocks for the nominal values of the parameters of the transfer functions of the blocks, which perform the paragraphs 5-8. 5. Serves the test signal x(t) (unit step, linearly increasing, rectangular pulse and so on) to the input of the control system with a nominal characteristics. Fundamental limitations on the type of input test the impact of proposed method does not. 6. Record the response of the system with the nominal characteristics of the Fj(tl), j=1, ..., k; l=1, ..., n in the interval tl∈[0,TK] k control points for n discrete points in time. 7. Determine the signal model for each of the k control points obtained in the course of the trial deviations of each of the m parameters of the blocks for n discrete points in time, which in turn for each of the parameter block of the dynamic system is administered trial deviation of the parameter of the transfer function and perform steps 5 and 6 for the same test signal x(t). The resulting output signals for each of the k control points and each of the m pilot deviations at n time points Pji(tl), j=1,..., k; i=1,..., m; l=1, ..., n register. 8. Define the deviation signal model, the resulting trial deviations of the respective blocks Δji(tl)=Pjt(tl)-Fj(tl), j=1,...., k; i=1,...., m; l=1, ..., n. 9. Replace the system with a nominal characteristics controlled. At the input of the system serves a similar test signal x(t). 10. Determine the signals of the controlled system for the k control points and n times Fj(tl), j=1, ..., k; l=1, ..., n, carrying out the operations described in paragraphs 5 and 6 as applied to a controlled system. 11. Determine the deflection signals of the controlled system for the k control points and n points in time from the nominal values ΔFj(tl)=Fj(tl)-Fj(tl), j=1,...., k; l=1,...., n. 12. Calculate the diagnostic signs of faulty parameter by the formula (1). 13. The minimum values of the diagnostic sign determine the faulty parameter. Because diagnostic criteria (1) and (2) have a range of possible values bounded by the interval [0,1], then the difference between the closest to the minimum characteristic and minimal sign(which indicates defective parameter) quantifies the appearance of the defect with respect to the location of the parameter block in the block diagram, type and parameters of the transfer functions of the blocks and all of the terms of diagnosis, in which these values are diagnostic characters (type of the test signal, the number and location of control points, the number and size of discrete time control). Better distinguishability when the difference is equal to (in terms of the vector interpretation of the normalized vectors of deviations of the signals corresponding to these parameters for trial orthogonal deviations). The worst visibility - when the difference is equal to zero (in terms of the vector interpretation of the normalized vectors of deviations of the signals corresponding to these parameters for the evaluation of deviations collinear). Therefore, the use of standardized diagnostic features allows you to compare the results of the diagnosis to determine the best search modes defects. Consider the implementation of the proposed method search single parametric defect for a system structural diagram of which is presented on the figure. Transfer function block: nominal parameter values: T1=5 (J1); k1=1 (J2);2=1 (J3); T2=1 (J4);3=1 (J5); T3=5 (J6). When you search for a single parametric defect in the form of a deviation time constant T1=4 (defect No. 1) in the first link by filing a speed test input signal of unit amplitude (Tr=10 (C), the obtained values of diagnostic signs by the formula (1) using three control points located at the outputs of blocks. The defect found by using trial variance to a value of 10%, gives the following values of the diagnostic signs: J1=0.05717; J2=0.705; J3=0.5803; J4=0.8367; J5=0.3906; J6=0.5171. The analysis values of the diagnostic signs shows that the inventive method is fairly good visibility parametric defects located in different or in the same block. Modeling of parametric search of defects in the second and third blocks of this diagnostic object under the same conditions diagnosis gives the following values of diagnostic features. If there is a defect in the unit 2 (in the form of reduction of the parameter T220%defect No. 4) the inventive method gives the following results: J1=0.8379; J2=0.2854; J3=0.5009; J4=0.01201; J5=0.467l; J6=0.4578. If there is a defect in the unit 3 (in the form of reduction of the parameter T320%defect No. 6) the inventive method gives: J1=0.5175; J2=0.2672;J 3=0.5984; J4=0.2612; J5=0.3087; J6=0.04483. The minimum value of the diagnostic sign in all cases correctly indicates the faulty parameter. The analysis values of the diagnostic signs shows that the appearance of parametric defects of the proposed method is high, which is beneficial to noise diagnosis. It should be noted that the inventive method is operable at larger values of the test deviations (10-40%). The limitation on the amount of trial deviation is the need to maintain the stability of the model with a trial deviation. The analysis values of the diagnostic signs also shows that the appearance of parametric defects located in different blocks, much better distinction parametric defects located in the same block. Method of Troubleshooting a dynamic block in a continuous system, based on the fact that record the number m of parameters of the transfer functions of the blocks included in the system, determine the testing time TK≥TPPfix a number k control points in the system log the system response and the model determine the diagnostic feature, the minimum diagnostic characteristic determine the faulty parameter, wherein the register is a comfort response of a known good system F j Mr.(t1), j=1, ..., k; l=1, ..., n, on the interval t1∈[0, Tto] k control points and n discrete points in time, determine the signal model for each of the k control points obtained in the course of the trial deviations of each of the m parameters and n discrete points in time, which in turn, for each parameter of all dynamic blocks in the system impose his trial deviation and find the output signals of the system for the test input signal x(t), the received output signals for each of the k control points and each of the m test variance and n is the discrete time values of Pji(t1), j=1, ..., k; i=1, ..., m; l=1, ..., n, register, define the deviation signal model, the resulting trial variance of the corresponding parameters from the nominal ΔPji(t1)=Pji(t1)-Fj(t1), j=1, ..., k; i=1, ..., m; l=1, ..., n, replace the system with a nominal characteristics controlled, to the input of the controlled system serves a similar test signal x(t), determine the signals of the controlled system for the k control points and n is the discrete time values of Fj(t1), j=1, ..., k; l=1, ..., n, define the deviation signals of the controlled system for the k control points and n discrete time values from the nominal values ∆ Fj(t1)=Fj(t1)-Fj(t1 ), j=1, ..., k; l=1, ..., n, define the diagnostic signs of ratios
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