CN117408080A - Power system fault analysis method, device and equipment based on logic model - Google Patents
Power system fault analysis method, device and equipment based on logic model Download PDFInfo
- Publication number
- CN117408080A CN117408080A CN202311509159.1A CN202311509159A CN117408080A CN 117408080 A CN117408080 A CN 117408080A CN 202311509159 A CN202311509159 A CN 202311509159A CN 117408080 A CN117408080 A CN 117408080A
- Authority
- CN
- China
- Prior art keywords
- power system
- performance
- structural
- model
- analysis result
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 132
- 238000004088 simulation Methods 0.000 claims abstract description 76
- 230000006870 function Effects 0.000 claims abstract description 48
- 238000000034 method Methods 0.000 claims abstract description 30
- 238000009826 distribution Methods 0.000 claims description 37
- 238000004891 communication Methods 0.000 claims description 19
- 238000000429 assembly Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 13
- 238000005070 sampling Methods 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 28
- 239000000446 fuel Substances 0.000 description 12
- 239000007800 oxidant agent Substances 0.000 description 11
- 230000001590 oxidative effect Effects 0.000 description 11
- 238000012545 processing Methods 0.000 description 7
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000005299 abrasion Methods 0.000 description 4
- 238000002679 ablation Methods 0.000 description 3
- 230000000712 assembly Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application provides a power system fault analysis method, device and equipment based on a logic model, and relates to the technical field of fault analysis; comprising the following steps: acquiring system information of a power system of the equipment; based on system information of the power system, constructing a functional model, a structural model, a parameter set and a performance simulation model of the power system; performing functional failure analysis, structural failure analysis and performance simulation based on the functional model, the structural model, the parameter set and the performance simulation model of the power system respectively to obtain a functional failure analysis result, a structural failure analysis result and a performance deviation analysis result of the power system; and combining the functional failure analysis result of the power system, the structural failure analysis result of the power system and the performance deviation analysis result of the power system to obtain the failure analysis result of the power system. The method analyzes the potential faults of the power system from three dimensions of functions, performances and structures, and completes the global identification of the potential faults of the power system.
Description
Technical Field
The application relates to the technical field of fault analysis, in particular to a power system fault analysis method, device and equipment based on a logic model.
Background
The potential fault identification of the power system of the equipment has very important significance for safety analysis, reliability analysis and establishment of safety precautions of the equipment.
The fault analysis of the existing power system is mainly completed through experiments or by means of existing experience or deduction reasoning, but the method can only analyze main faults once occurring in the power system, the obtained fault analysis result is incomplete and the accuracy is not guaranteed, and the fault analysis result cannot be used for carrying out safety and reliability analysis on the power system.
Disclosure of Invention
An objective of the embodiments of the present application is to provide a power system fault analysis method, device and equipment based on a logic model, so as to solve the above problems in the prior art, and implement global identification of potential faults of a power system.
In a first aspect, a method for analyzing a power system fault based on a logic model is provided, the method may include:
acquiring system information of a power system of the equipment; wherein the power system comprises at least one subsystem; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces; the system information includes: working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters;
Based on the system information of the power system, constructing a functional model, a structural model, a parameter set and a performance simulation model of the power system; the structural model of the power system is constructed based on a subsystem, a part assembly, parts and interface relations among the parts which form the power system; the parameter set consists of working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters of the power system;
performing functional fault analysis on the functional model of the power system to obtain a functional fault analysis result of the power system;
performing structural fault analysis on the structural model of the power system to obtain a structural fault analysis result of the power system;
inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system;
and combining the functional fault analysis result of the power system, the structural fault analysis result of the power system and the performance deviation analysis result of the power system to obtain the fault analysis result of the power system.
In an alternative implementation, performing a functional failure analysis on the functional model of the power system to obtain a functional failure analysis result of the power system, including:
Analyzing the functional model of the power system and determining an execution main body corresponding to each function of the power system; wherein the execution body comprises a subsystem, a part assembly and a part of a power system;
acquiring a plurality of execution states preset for each function of the power system;
mapping the execution states onto execution bodies corresponding to the functions aiming at any function of the power system to obtain a fault mode of the execution bodies corresponding to the functions;
and obtaining a function fault analysis result of the power system based on the obtained fault modes of the execution main bodies corresponding to all the functions.
In an alternative implementation, the operating parameters include: external environmental load of each part, working load of each part and internal failure mechanism of each part; the internal failure mechanism of each part is derived based on microscopic inspection data of the part.
In an alternative implementation, performing structural failure analysis on the structural model of the power system to obtain a structural failure analysis result of the power system, including:
inputting an external environment load, a working load and an internal failure mechanism of any part of the power system into a pre-constructed failure physical simulation model to obtain all structural failure modes of the part;
Determining a part assembly comprising the part, a subsystem comprising the part assembly, and a part in an interface relationship with the part based on a structural model of the power system;
determining a structural failure of a part assembly comprising the part, a structural failure of a subsystem comprising the part assembly, a structural failure of a part in an interface relationship with the part and a structural failure of the interface relationship caused by the structural failure mode of the part aiming at any structural failure mode of the part;
and obtaining a structural failure analysis result of the power system based on all the determined structural failure modes of all the parts and the structural failure of a part assembly containing the parts, the structural failure of a subsystem containing the part assembly, the structural failure of a part with interface relation with the parts and the structural failure of the interface relation, which are caused by all the structural failure modes.
In an alternative implementation, inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system, including:
determining the range of each working parameter in the parameter set according to the constraint condition in the parameter set of the power system;
Inputting the working parameters, the distribution condition of the working parameters and the range of the working parameters into a simulation model of the power system aiming at any working parameter in the power system parameter set to obtain simulation data of the working parameters;
wherein, the simulation data of the working parameters comprises: a plurality of samples of the operating parameter and a respective performance index value corresponding to each sample; the sampling value of the working parameter is obtained by randomly sampling the performance simulation model within the range of the working parameter according to the probability distribution curve of the working parameter;
constructing a performance simulation data set of the power system based on the obtained simulation data of all the working parameters;
based on the performance simulation dataset of the power system, a performance deviation of the power system is determined.
In an alternative implementation, determining a performance bias of the power system based on performance simulation data of the power system includes:
extracting simulation data containing the performance indexes from performance simulation data of the power system aiming at any performance index of the power system to obtain a simulation data set of the performance indexes;
Generating a probability distribution curve of each performance index of the power system based on the simulation data set of the performance index;
extracting performance values of the performance indexes based on probability distribution curves of the performance indexes of the power system;
comparing the performance value of the performance index with a preset threshold corresponding to the performance index, and determining the deviation of the performance index;
and obtaining the performance deviation of the power system based on the total deviation of all performance indexes of the power system.
In a second aspect, a power system failure analysis apparatus based on a logic model is provided, the apparatus may include:
an acquisition unit configured to acquire system information of a power system of the apparatus; wherein the power system comprises at least one subsystem; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces; the system information includes: working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters;
the construction unit is used for constructing a functional model, a structural model, a parameter set and a performance simulation model of the power system based on the system information of the power system; the structural model of the power system is constructed based on a subsystem, a part assembly, parts and interface relations among the parts which form the power system; the parameter set consists of working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters of the power system;
The analysis unit is used for carrying out functional fault analysis on the functional model of the power system to obtain a functional fault analysis result of the power system; performing structural fault analysis on the structural model of the power system to obtain a structural fault analysis result of the power system; inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system;
and the output unit is used for combining the function fault analysis result of the power system, the structure fault analysis result of the power system and the performance deviation analysis result of the power system to obtain the fault analysis result of the power system.
In a third aspect, an electronic device is provided, the electronic device comprising a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory are in communication with each other via the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of the above first aspects when executing a program stored on a memory.
In a fourth aspect, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the method steps of any of the first aspects.
According to the method, MBSE standardization, standardization and full-dimension modeling are utilized, and the potential faults of the power system are analyzed from the complete identification of the three dimensions of functions, performances and structures according to the requirements of the power system on the three dimensions of complete functions, good performances and complete structures, so that the global identification of the potential faults of the power system is completed.
The method combines failure physical simulation and structure model based to develop model-based structure fault recognition, and utilizes the module definition diagram in the structure model and the interface relation in the internal module diagram to comb the connecting pieces among the parts to determine the faults of the parts and the interfaces; and the performance deviation is analyzed by combining the parameter diagram and the one-dimensional simulation model of the power system, so that the comprehensive identification and analysis of faults are realized.
The method and the device are combined with forward design of the MBSE, faults existing in the power system are comprehensively, clearly and accurately analyzed, the analyzed faults are guaranteed to completely correspond to physical structures of real designs, and consistency of follow-up reliability analysis objects and the actual power system is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a power system fault analysis method based on a logic model according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a power system fault analysis device based on a logic model according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it being understood that the preferred embodiments described herein are for illustration and explanation only, and are not intended to limit the present application, and embodiments and features of embodiments of the present application may be combined with each other without conflict.
Fig. 1 is a schematic flow chart of a power system fault analysis method based on a logic model according to an embodiment of the present application. As shown in fig. 1, the method may include:
Step S110, acquiring system information of a power system of the equipment; based on the system information of the power system, a functional model, a structural model, a parameter set and a performance simulation model of the power system are constructed.
In the embodiment of the application, the power system of the equipment consists of a plurality of subsystems; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces.
In an embodiment of the present application, the powertrain system information includes: demand information, workflow, working parameters, performance indexes, constraint conditions and working parameter distribution conditions; wherein, the working parameters include: external environmental load of each part, working load of each part and internal failure mechanism of each part; the internal failure mechanism of each part is obtained based on microscopic detection data of the part; the performance index is the quantifiable performance index of each subsystem, part assembly and part of the power system; the distribution of the working parameters is obtained based on analysis of historical data of the equipment.
In an embodiment of the present application, according to a modeling specification of MBSE (model-based system engineering), a logical model of a power system is built using the SysML language, and the logical model of the power system includes a functional model, a structural model, and a parameter set (or a parameter map) of the power system. The functional model of the power system is obtained by expressing and decomposing the functional system requirements into system behaviors consistent with the functional system requirements; the structural model of the powertrain is derived from the structure necessary to perform the powertrain functions.
Specifically, the functional model of the power system is used for reflecting the functions of the power system, and the functional model specifically comprises a functional demand diagram, an activity diagram, a state diagram and a time sequence diagram in the demand diagram. The structural model of the power system is constructed based on the subsystem, the part assembly, the parts and the interface relation of the power system and is used for reflecting the hardware composition of the power system, and comprises a module definition diagram, an internal module diagram and the like. The parameter set of the power system consists of the working parameters, performance indexes, constraint conditions and probability distribution curves of the working parameters of the power system. Wherein, the interface relation includes: interface relationships between individual parts, between individual part assemblies, and between part assemblies and parts.
Step S120, performing functional failure analysis on the functional model of the power system to obtain a functional failure analysis result of the power system; and carrying out structural failure analysis on the structural model of the power system to obtain a structural failure analysis result of the power system.
In the embodiment of the present application, performing a functional failure analysis on a functional model of a power system to obtain a functional failure analysis result of the power system, including:
analyzing a functional model of the power system, and determining an execution main body (comprising a subsystem, a part assembly and parts of the power system) corresponding to each function of the power system; acquiring a plurality of execution states preset for various functions of a power system; mapping a plurality of execution states onto an execution main body corresponding to the function aiming at any function of the power system to obtain a fault mode of the execution main body corresponding to the function; and obtaining a functional failure analysis result of the power system based on the obtained failure modes of the execution main bodies corresponding to all the functions.
In the embodiment of the application, all tasks completed by the power system or all functions realized by the power system are determined based on a functional model (a functional requirement diagram, an activity diagram, a state machine diagram, a time sequence diagram and the like); according to the historical data of the power system, the task completion or function realization of the power system is determined to have 5 different states, namely normal state, functional loss state, functional discontinuity state, functional incompleteness state and deviation state, according to the historical data of the power system or from a priori database of the power system.
Determining parts, component parts and subsystems involved in the completion of any task or the realization of any function of the power system based on a functional model (a functional demand diagram, an activity diagram, a state machine diagram, a time sequence diagram and the like); mapping the 5 different states to each related part, each part component and each subsystem to obtain fault modes of the parts, the part components and the subsystems related by the power system for completing each task or realizing each function; the failure mode of the power system is derived based on the failure modes of the parts, components, and subsystems involved in the power system to accomplish all tasks or to perform all functions.
For example, assume that the powertrain system includes a total of A, B subsystems; wherein the A subsystem consists of two parts of components A1 and A2; the A1 part assembly consists of 6 parts from A11 to A16; the A2 part assembly consists of 3 parts a21 to a 23. The power system realizes 2 functions (D1, D2), and all 2 functions are realized by the A subsystem; the parts A11 to A16 of the A1 component realize the D1 function, and the parts A21 to A23 of the A2 component realize the D2 function; d1, D2 each correspond to 5 different states, and for D1 functions, 5 different states are mapped to the a system, A1 component, and a 11-a 16 parts, resulting in 5 failure modes of a11 (corresponding to 5 different states), 5 failure modes of a12 (corresponding to 5 different states), 5 failure modes of a13 (corresponding to 5 different states), 5 failure modes of a14 (corresponding to 5 different states), 5 failure modes of a15 (corresponding to 5 different states), and 5 failure modes of a16 (corresponding to 5 different states), 5 failure modes of a system (corresponding to 5 different states), and 5 failure modes of A1 component (corresponding to 5 different states).
Similarly, 5 fault modes of an A2 component, 5 fault modes of an A21, 5 fault modes of an A22, 5 fault modes of an A23 and 5 fault modes of an A system which realize the D2 function are obtained; because the power system only realizes the D1 function and the D2 function, the fault modes of the sub-system, the part component and the part corresponding to the D1 function and the fault modes of the sub-system, the part component and the part corresponding to the D2 function form the fault mode of the power system after the duplication elimination; since both functions are completed by the a-system in the above failure modes, the 5 failure modes of the a-system are repeatedly output 2 times, so that all failure modes need to be deduplicated, and the failure modes of the power system are obtained to contain 65 sets of data (each set of data contains one subsystem or one subassembly or one part and the corresponding failure state).
In the embodiment of the present application, structural failure analysis is performed on a structural model of a power system to obtain a structural failure analysis result of the power system, including:
inputting the external environmental load, the working load and the internal failure mechanism of any part of the power system into a pre-constructed failure physical simulation model to obtain all structural failure modes of the part; determining a part assembly comprising a part, a subsystem comprising the part assembly, and the part in an interface relationship with the part based on a structural model of the power system; determining a structural failure of a part assembly containing the part, a structural failure of a subsystem containing the part assembly, a structural failure of a part in interface relation with the part and a structural failure in interface relation caused by the structural failure mode of the part aiming at any structural failure mode of the part; and obtaining a structural failure analysis result of the power system based on all the determined structural failure modes of all the parts, the structural failure of the part assembly containing the parts, the structural failure of the subsystem containing the part assembly and the structural failure of the part with interface relation and the structural failure of the interface relation.
In one embodiment of the present application, structural failure analysis of a structural model of a powertrain system may include:
aiming at the possible structural damage of the power system in the working process, starting from the parts of the power system, the structural model (a module definition diagram and an internal module diagram) is utilized to identify the structural faults of the power system:
firstly, analyzing the external environment load and the working load of the parts, the internal failure mechanism of the parts and the like, and analyzing key weak links of the parts by means of failure physical model simulation or experience data extracted from a priori database to determine the structural failure mode of each part; wherein the structural failure modes of the part include ablation, cracking, wear, etc.;
secondly, determining the association part of any part based on the structural model (the association part comprises other parts connected with the part, a part assembly and subsystem containing the part); determining whether the structural failure mode of the part affects the associated part of the part or not, if so, determining the structural failure mode of the associated part;
and finally, traversing all parts of the power system to obtain structural failure data containing the structural failure mode of each part of the power system and the structural failure mode of the associated part of each part, and performing de-duplication on the obtained structural failure data to obtain a power system structural failure analysis result.
For example, the A subsystem of the power system consists of two parts of components A1 and A2; the A1 part assembly consists of 6 parts from A11 to A16; the A2 part assembly consists of 3 parts from A21 to A23; a11 is connected with A21, A12 is connected with A22, and A13 is connected with A23. According to the failure physical model simulation, determining that the structural failure mode of A11 is a crack, the structural failure mode of A12 is abrasion, and the structural failure mode of A13 is abrasion; the empirical data is extracted from the priori database to analyze that the structural failure mode of A14 is abrasion, the structural failure mode of A15 is ablation, and the structural failure mode of A16 is ablation.
Obtaining the associated piece of A11 according to the structural model comprises the following steps: a21, A1, and a; determining whether the structural failure mode of a11 would affect a21, A1 and a and cause structural failure of a21, A1 and a; assuming that A11 causes structural failure of A1 and A, and the structural failure modes of A1 and A are abrasion, obtaining the structural failure modes of A11 and the A11 related piece; traversing all the part assemblies of the A system and all the parts of each part assembly to obtain structural fault data comprising a structural fault mode of each part of the power system and a structural fault mode of an associated part of each part; because the related parts from A11 to A16 all comprise the A1 part component and the A system, the structural failure mode of the A1 part component and the structural failure mode of the A system in the structural failure data can be repeated for a plurality of times, so that the structural failure data is de-duplicated, and a power system structural failure analysis result is obtained.
In one embodiment of the present application, the connections between the parts, components, such as pipes, welds, sealing structures, etc., may be carded according to the interface relationships established in the structural model (module definition map and internal module map); and then determining failure modes of the parts and the part components according to environmental loads, failure physical models and the like of the connecting pieces, and analyzing the structural failure modes caused by the failure modes step by step to obtain a power system structural failure analysis result based on a physical structure.
In the embodiment of the application, the interface only representing the connection relationship in the structural model is definitely in a specific interface form, for example, the connection between the head and the body of the thrust chamber is definitely welded, and the interface fault is identified by adopting the structural fault analysis process.
And step S130, inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system.
In the embodiment of the application, inputting a parameter set of a power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system, including:
determining the range of each working parameter in the parameter set according to the constraint condition in the parameter set of the power system; inputting the working parameters, the distribution condition of the working parameters and the range of the working parameters into a simulation model of the power system aiming at any working parameter in the power system parameter set to obtain simulation data of the working parameters; constructing a performance simulation data set of the power system based on the obtained simulation data of all the working parameters; based on the performance simulation dataset of the power system, a performance bias of the power system is determined.
In the embodiment of the application, the simulation data of the working parameters include: a plurality of sampled values of the operating parameter and respective performance index values corresponding to each sampled value; the sampling value of the working parameter is obtained by randomly sampling the performance simulation model within the range of the working parameter according to the probability distribution curve of the working parameter.
In an embodiment of the present application, the step of obtaining simulation data of the working parameter may include: determining the working parameters as parameters to be simulated, and setting a specific numerical value for the other working parameters except the parameters to be simulated in the parameter set according to the value ranges of the other working parameters except the parameters to be simulated in the parameter set; and inputting the distribution condition of the parameters to be simulated, the range of the parameters to be simulated and the values of other working parameters except the parameters to be simulated in the parameter set into a simulation model of the power system to obtain simulation data of the parameters to be simulated. In particular, the distribution of uncertainty parameters may be described by random distribution, interval distribution, fuzzy mathematics, and the like.
By way of example, assuming that the powertrain operating parameters collectively comprise fuel flow and oxidant flow, the performance indicators comprise engine specific wash; wherein, the range of the fuel flow is [4,6], which obeys normal distribution; the value range of the flow of the oxidant is [8, 10], which is compliant with normal distribution; the fuel flow [4,6], normal distribution and oxidant flow [8, 10] are input into a simulation model of the power system.
The simulation model of the power system selects a plurality of values in total of 4.3, 4.5, 5 and 5.5 in the range of [4,6] according to the probability distribution curve of the fuel flow, and selects a plurality of values in total of 8.3, 8.5, 9 and 9.5 in the range of [8, 10] according to the probability distribution curve of the oxidant flow; and calculating the values of the engine specific impulse under different fuel flows and different oxidant flow values respectively, and outputting the fuel flows of 4.3, 4.5, 5 and 5.5, the oxidant flow and the corresponding values of the engine specific impulse to obtain simulation data of the fuel flows. In the simulation analysis process, the fuel flow is taken in the range of [4,6] and normally distributed, and the specific values of 4.3, 4.5, 5 and 5.5 are obtained by random sampling according to a probability distribution curve, and the values of the oxidant flow are the same.
Based on the simulation data of the fuel flow and the simulation data of the oxidant flow, a performance simulation data set of the power system can be obtained.
In the embodiment of the application, when the working parameter combination is input into the performance simulation model of the power system, the step of generating the simulation data of the input working parameter is the same as the above step.
In an embodiment of the present application, determining a performance deviation of a power system based on performance simulation data of the power system includes:
Extracting simulation data containing performance indexes from performance simulation data of the power system aiming at any performance index of the power system to obtain a simulation data set of the performance indexes;
generating a probability distribution curve of each performance index of the power system based on the simulation data set of the performance index; extracting performance values of performance indexes based on probability distribution curves of the performance indexes of the power system; comparing the performance value of the performance index with a preset threshold corresponding to the performance index, and determining the deviation of the performance index; and obtaining the performance deviation of the power system based on the total deviation of all the performance indexes.
For example, when the fuel flow and the oxidant flow are respectively valued in [4,6], [8,10] through system model simulation, the range of the specific impulse of the engine is [310,320] and the range of the preset threshold value of the specific impulse is [315,325], the deviation of the specific impulse is-5 (310-315), and the fluctuation of the fuel flow and the oxidant flow can make the specific impulse index smaller; assuming that the calculated range of engine specific impulse is [320,330], and the preset threshold range of specific impulse is [315,325], the deviation of specific impulse is +5 (330-325), and the fluctuation of fuel flow and oxidant flow can lead to larger specific impulse index.
And step 140, combining the functional failure analysis result of the power system, the structural failure analysis result of the power system and the performance deviation analysis result of the power system to obtain the failure analysis result of the power system.
In one embodiment of the application, the functional failure analysis result of the power system, the structural failure analysis result of the power system and the performance deviation analysis result of the power system are integrated and iterated to be perfect, so that the final failure analysis result of the power system is obtained.
Corresponding to the method, the embodiment of the application also provides a power system fault analysis device based on a logic model, as shown in fig. 2, where the power system fault analysis device based on the logic model includes:
an acquiring unit 210 for acquiring system information of a power system of the apparatus; wherein the power system comprises at least one subsystem; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces; the system information includes: working parameters, performance indexes, constraint conditions and working parameter distribution conditions;
a construction unit 220, configured to construct a functional model, a structural model, a parameter set, and a performance simulation model of the power system based on system information of the power system; the structural model of the power system is constructed based on the subsystem, the part assembly, the parts and the interface relation among the parts which form the power system; the parameter set consists of working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters of the power system;
The analysis unit 230 is configured to perform a functional failure analysis on the functional model of the power system, so as to obtain a functional failure analysis result of the power system; analyzing the structural faults of the structural model of the power system to obtain structural fault analysis results of the power system; inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system;
and the output unit 240 is configured to combine the analysis result of the functional failure of the power system, the analysis result of the structural failure of the power system, and the analysis result of the performance deviation of the power system to obtain the analysis result of the failure of the power system.
The functions of each functional unit of the power system fault analysis device based on the logic model provided in the foregoing embodiments of the present application may be implemented by the foregoing method steps, so specific working processes and beneficial effects of each unit in the power system fault analysis device based on the logic model provided in the embodiments of the present application are not repeated herein.
The embodiment of the application further provides an electronic device, as shown in fig. 3, including a processor 310, a communication interface 320, a memory 330 and a communication bus 340, where the processor 310, the communication interface 320 and the memory 330 complete communication with each other through the communication bus 340.
A memory 330 for storing a computer program;
the processor 310 is configured to execute the program stored in the memory 330, and implement the following steps:
acquiring system information of a power system of the equipment; wherein the power system comprises at least one subsystem; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces; the system information includes: working parameters, performance indexes, constraint conditions and working parameter distribution conditions;
based on system information of the power system, constructing a functional model, a structural model, a parameter set and a performance simulation model of the power system; the structural model of the power system is constructed based on the subsystem, the part assembly and the parts which form the power system; the parameter set consists of working parameters, performance indexes, constraint conditions and probability distribution curves of the working parameters of the power system;
performing functional fault analysis on the functional model of the power system to obtain a functional fault analysis result of the power system; analyzing the structural faults of the structural model of the power system to obtain structural fault analysis results of the power system; inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system;
And combining the functional failure analysis result of the power system, the structural failure analysis result of the power system and the performance deviation analysis result of the power system to obtain the failure analysis result of the power system.
The communication bus mentioned above may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, or the like. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other devices.
The Memory may include random access Memory (Random Access Memory, RAM) or may include Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
Since the implementation manner and the beneficial effects of the solution to the problem of each device of the electronic apparatus in the foregoing embodiment may be implemented by referring to each step in the embodiment shown in fig. 1, the specific working process and the beneficial effects of the electronic apparatus provided in the embodiment of the present application are not repeated herein.
In yet another embodiment provided herein, a computer readable storage medium having instructions stored therein that when run on a computer cause the computer to perform the method of power system failure analysis based on the logic model of any of the above embodiments is also provided.
In yet another embodiment provided herein, there is also provided a computer program product containing instructions that, when run on a computer, cause the computer to perform the method of power system failure analysis based on the logic model of any of the above embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted to embrace the preferred embodiments and all such variations and modifications as fall within the scope of the embodiments herein.
It will be apparent to those skilled in the art that various modifications and variations can be made in the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, if such modifications and variations of the embodiments in the present application fall within the scope of the claims and the equivalents thereof in the embodiments of the present application, such modifications and variations are also intended to be included in the embodiments of the present application.
Claims (9)
1. A power system fault analysis method based on a logic model, the method comprising:
acquiring system information of a power system of the equipment; wherein the power system comprises at least one subsystem; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces; the system information includes: working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters;
based on the system information of the power system, constructing a functional model, a structural model, a parameter set and a performance simulation model of the power system; the structural model of the power system is constructed based on a subsystem, a part assembly, parts and interface relations among the parts which form the power system; the parameter set consists of working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters of the power system;
performing functional fault analysis on the functional model of the power system to obtain a functional fault analysis result of the power system;
performing structural fault analysis on the structural model of the power system to obtain a structural fault analysis result of the power system;
Inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system;
and combining the functional fault analysis result of the power system, the structural fault analysis result of the power system and the performance deviation analysis result of the power system to obtain the fault analysis result of the power system.
2. The method of claim 1, wherein performing a functional failure analysis on the functional model of the power system to obtain a functional failure analysis result of the power system, comprises:
analyzing the functional model of the power system and determining an execution main body corresponding to each function of the power system; wherein the execution body comprises a subsystem, a part assembly and a part of a power system;
acquiring a plurality of execution states preset for each function of the power system;
mapping the execution states onto execution bodies corresponding to the functions aiming at any function of the power system to obtain a fault mode of the execution bodies corresponding to the functions;
and obtaining a function fault analysis result of the power system based on the obtained fault modes of the execution main bodies corresponding to all the functions.
3. The method of claim 1, wherein the operating parameters comprise: external environmental load of each part, working load of each part and internal failure mechanism of each part; the internal failure mechanism of each part is derived based on microscopic inspection data of the part.
4. A method according to claim 3, wherein performing structural failure analysis on the structural model of the power system to obtain structural failure analysis results of the power system comprises:
inputting an external environment load, a working load and an internal failure mechanism of any part of the power system into a pre-constructed failure physical simulation model to obtain all structural failure modes of the part;
determining a part assembly comprising the part, a subsystem comprising the part assembly, and a part in an interface relationship with the part based on a structural model of the power system;
determining a structural failure of a part assembly comprising the part, a structural failure of a subsystem comprising the part assembly, a structural failure of a part in an interface relationship with the part and a structural failure of the interface relationship caused by the structural failure mode of the part aiming at any structural failure mode of the part;
And obtaining a structural failure analysis result of the power system based on all the determined structural failure modes of all the parts and the structural failure of a part assembly containing the parts, the structural failure of a subsystem containing the part assembly, the structural failure of a part with interface relation with the parts and the structural failure of the interface relation, which are caused by all the structural failure modes.
5. The method of claim 1, wherein inputting the set of parameters of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system comprises:
determining the range of each working parameter in the parameter set according to the constraint condition in the parameter set of the power system;
inputting the working parameters, the distribution condition of the working parameters and the range of the working parameters into a simulation model of the power system aiming at any working parameter in the power system parameter set to obtain simulation data of the working parameters;
wherein, the simulation data of the working parameters comprises: a plurality of samples of the operating parameter and a respective performance index value corresponding to each sample; the sampling value of the working parameter is obtained by randomly sampling the performance simulation model within the range of the working parameter according to the probability distribution curve of the working parameter;
Constructing a performance simulation data set of the power system based on the obtained simulation data of all the working parameters;
based on the performance simulation dataset of the power system, a performance deviation of the power system is determined.
6. The method of claim 5, wherein determining a performance bias of the power system based on performance simulation data of the power system comprises:
extracting simulation data containing the performance indexes from performance simulation data of the power system aiming at any performance index of the power system to obtain a simulation data set of the performance indexes;
generating a probability distribution curve of each performance index of the power system based on the simulation data set of the performance index;
extracting performance values of the performance indexes based on probability distribution curves of the performance indexes of the power system;
comparing the performance value of the performance index with a preset threshold corresponding to the performance index, and determining the deviation of the performance index;
and obtaining the performance deviation of the power system based on the deviation of all performance indexes of the power system.
7. A power system failure analysis apparatus based on a logic model, the apparatus comprising:
An acquisition unit configured to acquire system information of a power system of the apparatus; wherein the power system comprises at least one subsystem; each subsystem is composed of a plurality of sub-assemblies; each of the sub-assemblies is made up of a plurality of pieces; the system information includes: working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters;
the construction unit is used for constructing a functional model, a structural model, a parameter set and a performance simulation model of the power system based on the system information of the power system; the structural model of the power system is constructed based on a subsystem, a part assembly, parts and interface relations among the parts which form the power system; the parameter set consists of working parameters, performance indexes, constraint conditions and distribution conditions of the working parameters of the power system;
the analysis unit is used for carrying out functional fault analysis on the functional model of the power system to obtain a functional fault analysis result of the power system; performing structural fault analysis on the structural model of the power system to obtain a structural fault analysis result of the power system; inputting the parameter set of the power system into a performance simulation model of the power system to obtain a performance deviation analysis result of the power system;
And the output unit is used for combining the function fault analysis result of the power system, the structure fault analysis result of the power system and the performance deviation analysis result of the power system to obtain the fault analysis result of the power system.
8. An electronic device, characterized in that the electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are in communication with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method of any of claims 1-6 when executing a program stored on a memory.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, implements the method of any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311509159.1A CN117408080A (en) | 2023-11-13 | 2023-11-13 | Power system fault analysis method, device and equipment based on logic model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311509159.1A CN117408080A (en) | 2023-11-13 | 2023-11-13 | Power system fault analysis method, device and equipment based on logic model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117408080A true CN117408080A (en) | 2024-01-16 |
Family
ID=89490748
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311509159.1A Pending CN117408080A (en) | 2023-11-13 | 2023-11-13 | Power system fault analysis method, device and equipment based on logic model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117408080A (en) |
-
2023
- 2023-11-13 CN CN202311509159.1A patent/CN117408080A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107633155B (en) | Method and apparatus for computer-based generation of component fault trees | |
| US20070239633A1 (en) | Empirical design of experiments using neural network models | |
| US8918747B2 (en) | Formal verification of a logic design | |
| CN110245085B (en) | Embedded real-time operating system verification method and system by using online model inspection | |
| Landowski et al. | Method of building a model of operational changes for the marine combustion engine describing the impact of the damages of this engine on the characteristics of its operation process | |
| CN108717415B (en) | Production equipment life cycle state data modeling method and system | |
| CN112801315A (en) | State diagnosis method and device for power secondary equipment and terminal | |
| CN114528688A (en) | Method and device for constructing reliability digital twin model and computer equipment | |
| Ahmad et al. | Towards the formal reliability analysis of oil and gas pipelines | |
| CN114995346A (en) | Engine electrical diagnosis calibration method, device, equipment and medium | |
| Elderhalli et al. | Probabilistic analysis of dynamic fault trees using HOL theorem proving | |
| Mohamed et al. | Enhancing test cases prioritization for internet of things based systems using Search-based technique | |
| CN113313304A (en) | Power grid accident abnormity analysis method and system based on big data decision tree | |
| CN117408080A (en) | Power system fault analysis method, device and equipment based on logic model | |
| CN110968518A (en) | Analysis method and device for automatic test log file | |
| CN115564410A (en) | State monitoring method and device for relay protection equipment | |
| CN112712305B (en) | Aircraft system and health assessment method and device thereof | |
| CN113553246A (en) | System evaluation device for computing platform | |
| Bernardi et al. | Facilitating fault-simulation comprehension through a fault-lists analysis tool | |
| JP6723483B2 (en) | Test case generation device, test case generation method, and test case generation program | |
| CN113139332A (en) | Automatic model construction method, device and equipment | |
| Kadam et al. | Increases the Reliability of Software using Enhanced Non Homogenous Poisson Process (EHPP), Functional Point and Test Point Analysis | |
| CN112329124A (en) | CAE model error checking method and device, computer equipment and storage medium | |
| Saifan et al. | Using formal methods for test case generation according to transition-based coverage criteria | |
| Frehse et al. | Efficient simulation-based debugging of reversible logic |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |