Model-based power system failure mode and effects analysis method

By constructing a system model of the dynamic system and identifying the fault transmission relationship matrix, the problem of relying on personal experience in the analysis of dynamic systems in the existing technology is solved, and more accurate and efficient fault mode and effect analysis is achieved, generating automatically generated FMEA entries.

CN120874396BActive Publication Date: 2025-12-26BEIHANG UNIV +1
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Patent Information

Application Number
CN202511367703.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-24
Publication Date
2025-12-26
Estimated Expiration
2045-09-24

AI Technical Summary

Technical Problem

In existing technologies, failure mode and effect analysis of power systems relies on personal experience, which makes it difficult to guarantee the comprehensiveness and accuracy of the analysis results, and the analysis efficiency is low, making it difficult to sort out the failure transmission relationship of complex systems.

Method used

A model-based approach is used to construct a system model of the dynamic system, including activity diagrams, parametric diagrams, and module definition diagrams. Fault modes are identified and a fault propagation matrix is ​​established. FMEA entries are generated, and the system is modeled using SysML language to automatically generate analysis results.

Benefits of technology

It improves the accuracy and efficiency of power system failure mode and effect analysis, avoids reliance on personal experience, and achieves more comprehensive failure mode identification and efficient FMEA item generation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a model-based power system failure mode and effect analysis method, and relates to the technical field of failure mode and effect analysis, and comprises the following steps: obtaining development requirements of a power system, and constructing a system model of the power system based on the development requirements; wherein the system model comprises an activity graph, a parameter graph model, a module definition graph and an internal module graph; identifying power system failure modes based on the system model; wherein the power system failure modes comprise functional failure modes, performance deviation failure modes and structural failure modes; identifying failure transmission relationships of the power system failure modes based on the system model; modeling the failure transmission relationships to obtain a failure transmission relationship matrix; and generating power system FMEA entries based on the power system failure modes and the failure transmission relationship matrix. The application improves the accuracy and analysis efficiency of power system failure mode and effect analysis.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of failure mode and effects analysis, and in particular to a model-based failure mode and effects analysis method for a power system. BACKGROUND

[0002] A power system provides power for a carrier and a spacecraft, and is the basis for the carrier and the spacecraft to enter space and utilize space. The power system generally includes an electronic circuit control and monitoring subsystem, a high-pressure gas path subsystem, a propeller storage and delivery subsystem, an engine / thruster subsystem, and the like, each of which includes a pipeline, a valve, an engine, and the like, and each of which is composed of parts. The power system has a complex structure and strong coupling between components, resulting in numerous failure modes. The failure types of the power system include functional failure, performance deviation, and structural failure. In addition, each failure type influences each other, and the influence relationship is complex, which brings difficulties to the failure mode and effects analysis of the power system.

[0003] In the existing failure mode and effects analysis of the power system, an analysis method is used, which relies on the experience of an analyst, starts from the failure mode of the lowest unit of the power system, analyzes the possible failure modes and all possible effects on the system layer by layer, and classifies and analyzes each failure mode according to the severity and probability of occurrence. The failure mode of a lower level influences the failure mode of a higher level, and the failure mode of a higher level is caused by the failure mode of a lower level. However, the analysis depends on the individual ability and experience, and the comprehensiveness and accuracy of the analysis results are difficult to guarantee, and the analysis is difficult to implement and has low efficiency. SUMMARY

[0004] Therefore, the present application aims to provide a model-based failure mode and effects analysis method for a power system, so as to improve the accuracy and efficiency of the failure mode and effects analysis of the power system.

[0005] To achieve the above-mentioned purpose, the technical solution adopted by the present application is as follows:

[0006] In a first aspect, the present application provides a model-based failure mode and effects analysis method for a power system, which comprises: obtaining the development requirements of the power system, and constructing a system model of the power system based on the development requirements; wherein the system model comprises: an activity graph, a parameter graph model, a module definition graph, and an internal module graph; identifying the failure mode of the power system based on the system model; wherein the failure mode of the power system comprises: a functional failure mode, a performance deviation failure mode, and a structural failure mode; identifying the failure transmission relationship of the failure mode of the power system based on the system model; modeling the failure transmission relationship to obtain a failure transmission relationship matrix; and generating a power system FMEA item based on the failure mode of the power system and the failure transmission relationship matrix.

[0007] Optionally, the system model of the power system is constructed based on system parameters, including: based on the functional requirements of the power system, the functions of the power system are decomposed step by step using an activity diagram, and the decomposed functions are allocated to corresponding sub-units step by step based on activity partition in the activity diagram, to determine the composition relationship between the functions of the power system; wherein, there is a composition relationship between the upper-level function and the lower-level function in the decomposition relationship, and the sub-units include subsystems, subassemblies and parts of the power system; the performance indicators of each unit are determined based on the performance requirements of the power system, the performance indicator calculation model is established using the constraint block of the parameter diagram, and the input parameters of the performance indicators of the units are determined, the performance requirements of the sub-units are determined based on the input parameters, and the performance indicators of the sub-units are determined based on the performance requirements of the sub-units, and the performance indicators of the sub-units are decomposed based on the parameter diagram until the smallest unit of the power system is decomposed; wherein, the parameters of the constraint block include input parameters and output parameters, the input parameters are bound to the value attributes in the sub-units representing the performance indicators of the sub-units, the output parameters are determined by the performance indicators of the units, and are bound to the value attributes in the units representing the performance indicators of the units; the structure model of the power system is determined based on the module definition diagram and the internal module diagram; wherein, the structure model includes the composition relationship and the structure relationship between each unit of the power system.

[0008] Optionally, the fault modes of the power system are identified based on the system model, including: for each function in the activity diagram, the multiple execution states of the function are mapped to the corresponding units to obtain the function failure mode of the unit executing the function, and the correlation between the function failure mode and the unit executing the function is established; based on the relationship between the parameters of the constraint block in the parameter diagram and the value attributes of the units, the performance deviation of the constraint block corresponding to the parameters is mapped to the corresponding units to obtain the performance deviation failure mode of the units, and the correlation between the performance deviation failure mode and the units is established; the structure failure modes of the smallest parts of the power system and the interfaces between the units are determined, the structure failure modes of the units containing the smallest parts or interfaces are determined based on the module definition diagram and the internal module diagram, and the correlation between the structure failure modes and the units is established; wherein, the structure failure modes of the power system include: the structure failure modes of the parts, the structure failure modes of the subassemblies, and the structure failure modes of the subsystems.

[0009] Optionally, the fault propagation relationship of the power system failure mode is identified based on the system model, including: identifying the fault propagation relationship based on the activity graph; identifying the structural failure propagation relationship based on the module definition graph; wherein the structural failure propagation relationship includes: the transmission relationship of the structural failure mode of the part to the structural failure mode of the subassembly, the transmission relationship of the structural failure mode of the subassembly to the structural failure mode of the subsystem, and the transmission relationship of the structural failure mode of the subsystem to the structural failure mode of the power system; identifying the performance deviation propagation relationship based on the parameter graph; for each unit, obtaining the functional failure mode and the performance deviation failure mode related to the unit by keyword search, and identifying the fault transmission relationship of the performance deviation failure mode to the functional failure mode; identifying the fault transmission relationship of the structural failure mode to the performance deviation failure mode in the same unit based on the pre-established power system simulation system, and identifying the fault transmission relationship of the functional failure mode to the performance deviation failure mode of the same unit or adjacent unit.

[0010] Optionally, the fault propagation relationship is identified based on the activity graph, including: identifying the fault transmission relationship of the functional failure mode of the next level function to the previous level function based on the composition relationship between the previous level function and the next level function; identifying the fault transmission relationship of the structural failure mode of the unit to the function of the activity partition based on the activity partition where the function in the activity graph is located; identifying the fault transmission relationship of the functional failure mode corresponding to the function outputting the object flow or the control flow to the function inputting the object flow or the control flow based on the object flow and the control flow in the activity graph; wherein the object flow and the control flow represent the relationship between functions.

[0011] Optionally, the performance deviation propagation relationship is identified based on the parameter graph, including: identifying the performance deviation propagation relationship of the performance deviation failure mode corresponding to the value attribute of the unit bound to the input parameter of the constraint block to the performance deviation failure mode corresponding to the value attribute of the unit bound to the output parameter of the constraint block based on the relationship between the input parameter and the output parameter of the constraint block of the parameter graph.

[0012] Optionally, the power system FMEA entry is generated based on the power system failure mode and the fault propagation relationship matrix, including: establishing a power system FMEA entry table; wherein the power system FMEA entry table includes at least the following fields: serial number, failure mode, failure type, related unit, cause, influence, failure occurrence level, failure hazard level and risk priority number; searching for the field contents corresponding to the failure mode, failure type, related unit, cause and influence based on the power system failure mode and the fault propagation relationship matrix; determining the field contents corresponding to the failure occurrence level and the failure hazard level in response to user input, and determining the field contents corresponding to the risk priority number based on the failure occurrence level and the failure hazard level, to generate the power system FMEA entry.

[0013] In a second aspect, the present application provides a model-based power system failure mode and effect analysis device, comprising: a system model construction module, configured to acquire development requirements of a power system, and construct a system model of the power system based on the development requirements; wherein the system model comprises: an activity graph, a parameter graph module, a module definition graph and an internal module graph; a failure mode identification module, configured to identify power system failure modes based on the system model; wherein the power system failure modes comprise: functional failure modes, performance deviation failure modes and structural failure modes; a failure propagation relationship identification module, configured to identify failure propagation relationships of the power system failure modes based on the system model; a failure propagation relationship matrix construction module, configured to model the failure propagation relationships to obtain a failure propagation relationship matrix; and an FMEA item generation module, configured to generate power system FMEA items based on the power system failure modes and the failure propagation relationship matrix.

[0014] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores computer executable instructions capable of being executed by the processor, and the processor executes the computer executable instructions to implement the steps of the method of any one of the first aspect.

[0015] In a fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is run by a processor to execute the steps of the method of any one of the first aspect.

[0016] The present application has the following beneficial effects:

[0017] The model-based power system failure mode and effect analysis method provided by the present application firstly acquires development requirements of a power system, and constructs a system model of the power system based on the development requirements (including: an activity graph, a parameter graph module, a module definition graph and an internal module graph); secondly identifies power system failure modes based on the system model (including: functional failure modes, performance deviation failure modes and structural failure modes); then identifies failure propagation relationships of the power system failure modes based on the system model; next models the failure propagation relationships to obtain a failure propagation relationship matrix; and finally generates power system FMEA items based on the power system failure modes, the failure propagation relationship matrix and the system failure modes. The above method can identify power system failure modes and failure propagation relationships according to a system model of the power system, and model the failure propagation relationships in the form of a matrix list, thereby avoiding the dependence on personal experience and ability in power system failure mode and effect analysis, solving the problem of complex failure modes and complex failure propagation relationships in complex systems that are difficult to comb, making the power system failure mode and effect analysis process more comprehensive and accurate; and the power system FMEA items can be automatically generated, which is more efficient and time-saving.

[0018] Other features and advantages of the present application will be set forth in the descriptions that follow, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the present application will be realized and attained by the structures particularly pointed out in the description, claims and drawings.

[0019] In order to make the above objectives, features and advantages of the present application more apparent, the following will be specifically described with reference to the preferred embodiments and in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or the prior art description. Obviously, the drawings described below are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0021] Figure 1 A flow chart of a model-based power system failure mode and effect analysis method provided by an embodiment of the present application;

[0022] Figure 2 A schematic diagram of a failure transmission relationship matrix provided by an embodiment of the present application;

[0023] Figure 3 A flow chart of another model-based power system failure mode and effect analysis method provided by an embodiment of the present application;

[0024] Figure 4 A structural schematic diagram of a model-based power system failure mode and effect analysis device provided by an embodiment of the present application;

[0025] Figure 5 A structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the objectives, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the present application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the present application.

[0027] At present, the existing analysis method is based on document information to analyze the system composition and working principle, and the obtained fault depends on the experience and personal ability of the analysis personnel. The fuzziness and ambiguity of the text expression cannot guarantee the consistency of the analysis model and the design model, and the analysis model is difficult to update quickly after the design state changes; at the same time, it is too dependent on personal ability and experience, and only analyzes the faults known by experience, so it is difficult to guarantee the comprehensiveness and accuracy of the analysis results; in addition, for a complex system in function, structure and behavior, the fault transmission process is complex and difficult to sort out, which greatly increases the difficulty of FMEA (Failure Mode and Effects Analysis, Failure Mode and Effects Analysis).

[0028] Based on this, the embodiment of the application provides a model-based power system failure mode and effect analysis method, which can improve the accuracy of power system failure mode and effect analysis.

[0029] In order to facilitate the understanding of the present embodiment, first, a model-based power system failure mode and effect analysis method disclosed by the embodiment of the application is introduced in detail, which can be executed by an electronic device, such as a smart phone, a computer, a tablet computer, etc. Referring to the flow chart of a model-based power system failure mode and effect analysis method shown in Figure 1 The method mainly includes the following steps S101 to S105:

[0030] Step S101: Obtain the development requirements of the power system, and construct a system model of the power system based on the development requirements.

[0031] In an embodiment, the development requirements of the power system at least include: functional requirements, performance requirements, performance indicators, work flow, work parameters, constraint conditions, etc. In the embodiment of the application, the system model can be constructed according to the modeling specification and method of model-based systems engineering (MBSE). Specifically, the system model can be constructed by using SysML language (Systems Modeling Language), which is a standard system modeling language for system engineering, and is the mainstream system modeling language in the field of MBSE. SysML language describes model element nodes by using various rectangles / circles / ellipses, and describes the relationship between model elements by using various lines and arrows, including behavior diagrams, requirement diagrams, structure diagrams, parametric diagrams, etc. Figure ThreeThe nine types of views include a demand diagram, a use case diagram, an activity diagram, a sequence diagram, a state machine diagram, a package diagram, a module definition diagram, an internal module diagram, and a parameter diagram.

[0032] Step S102: identifying a power system failure mode based on the system model.

[0033] In an embodiment, the power system failure mode includes a functional failure mode, a performance deviation failure mode, and a structure failure mode. Specifically, the functional failure can be identified by using the activity diagram, the functional failure of all units of the power system constitutes the functional failure mode of the power system; the performance deviation can be identified by using the parameter diagram, the performance deviation of all units of the power system constitutes the performance deviation failure mode of the power system; the structure failure can be identified by using the module definition diagram and the internal module diagram, the structure failure of all units of the power system constitutes the structure failure mode of the power system.

[0034] Step S103: identifying a failure transmission relationship of the power system failure mode based on the system model.

[0035] In an embodiment, after the power system failure mode is obtained, the failure transmission relationship can be identified by using the system model.

[0036] Step S104: modeling the failure transmission relationship to obtain a failure transmission relationship matrix.

[0037] In an embodiment, a failure transmission relationship matrix list is established, the identified failure transmission relationship is modeled, and the failure modes having an influence are associated. The established failure transmission relationship matrix is as follows: Figure 2The rows and columns of the matrix table are fault modes, and if the occurrence of fault A leads to fault B, the fault transmission relationship between them is established in the square where the column of fault A intersects with the row of fault B. Among them, the influence of performance deviation on performance deviation is described by "deviation transmission", and the transmission relationship between the remaining faults is described by "leads to". The fault transmission relationship has directionality, from one fault mode to another fault mode further caused by the fault mode. The fault transmission relationship matrix table adopts a hierarchical list form, including a power system level fault transmission relationship matrix table, a subsystem level fault transmission relationship matrix table, and a component level fault transmission relationship matrix table. The fault modes of the rows and columns in the component level fault transmission relationship matrix table are each component of the power system, including the fault modes of the parts therein; the subsystem level fault transmission relationship matrix table includes a fault transmission relationship matrix table between the components of the subsystem and a fault transmission relationship matrix table between different fault modes of each subsystem; and the system level fault transmission relationship table includes a fault transmission relationship matrix table between the subsystems of the power system and a fault transmission relationship matrix table at the system level.

[0038] Step S105: generating a power system FMEA entry based on the power system fault mode and the fault transmission relationship matrix.

[0039] In an embodiment, a power system FMEA entry table is established, and the automatic generation of the FMEA entry is realized based on the power system fault mode and the fault transmission relationship matrix. The power system FMEA entry table includes a serial number, a fault mode, a fault type, a related unit, a cause, an influence, a fault occurrence level, a fault hazard level, and a risk priority number, as shown in Table 1.

[0040] Table 1: Power system FMEA entry table

[0041]

[0042] The above-mentioned model-based power system fault mode and influence analysis method provided by the present application can identify the power system fault mode and the fault transmission relationship according to the system model of the power system, and model the fault transmission relationship in the form of a matrix table, thereby avoiding the dependence on personal experience and ability in the power system fault mode and influence analysis, solving the problem of complex fault mode and complex fault transmission relationship in a complex system, making the power system fault mode and influence analysis process more comprehensive and accurate, and automatically generating the power system FMEA entry, which is more efficient and time-saving.

[0043] In an embodiment, for the foregoing step S101, when the system model of the power system is constructed based on the development requirements, the following methods can be used, including but not limited to the following steps 11 to step 13:

[0044] Step 11: based on the functional requirements of the power system, the functions of the power system are decomposed step by step using the activity diagram, and the decomposed functions are allocated to the corresponding sub-units step by step based on the activity partition in the activity diagram, to determine the composition relationship between the functions of the power system; wherein there is a composition relationship between the upper-level function and the lower-level function with a decomposition relationship, and the sub-units include subsystems, subassemblies and parts of the power system.

[0045] In specific implementation, starting from the top-level functional requirements of the power system, the functions of the power system are refined step by step using the activity diagram, and the decomposed functions are allocated to the sub-units step by step according to the activity partition in the activity diagram, until the smallest functional unit of the power system. Wherein the activity diagram defines actions (representing functions) and "flows" (divided into object flows and control flows) between actions, and actions can be allocated to sub-units through activity partition (or swim lane), and according to the composition level of the power system, sub-units include subsystems, subassemblies and parts of the power system, etc.

[0046] Taking the spacecraft attitude and orbit control power system as an example, according to its functional requirement of "providing power for spacecraft orbit transfer and attitude control", the action representing the function of the power system is determined as "power system normal output thrust", which can be further decomposed to form actions such as "power system internal electrical supply", "tank pressurized gas supply", "propellant supply", "propellant energy conversion and thrust generation", etc. The action "propellant energy conversion and thrust generation" can be further decomposed to form actions such as "valve start", "oxygen valve start", "propellant combustion and thrust generation", etc. Each decomposed action can be allocated to the corresponding activity partition, i.e. allocated to the corresponding sub-unit, such as: allocating the action "power system internal electrical supply" to the electronic circuit control and monitoring subsystem, and allocating the action "tank pressurized gas supply" to the high-pressure gas path subsystem. The upper-level function and the lower-level function with a decomposition relationship can establish a composition relationship, such as: there is a composition relationship between "power system normal output thrust" and "propellant energy conversion and thrust generation", and there is also a composition relationship between "propellant energy conversion and thrust generation" and "valve start".

[0047] Step 12: based on the performance requirements of the power system, the performance indicators of each unit are determined, the performance indicator calculation model is established using the constraint block of the parameter diagram, the input parameters of the performance indicators of the unit are determined, the performance requirements of the sub-units are determined based on the input parameters, the performance indicators of the sub-units are determined based on the performance requirements of the sub-units, and the performance indicators of the sub-units are decomposed based on the parameter diagram, until the smallest unit of the power system is decomposed; wherein the input parameters are bound to the value attributes representing the performance indicators of the sub-units in the sub-units, the output parameters are determined by the performance indicators of the units, and are bound to the value attributes representing the performance indicators of the units in the units.

[0048] In the implementation, the performance indicators of the units are determined according to the performance requirements of the power system, the performance indicator calculation model (constraints in the form of equations) is established by using the constraint blocks in the parameter diagram, the input parameters of the performance indicators are determined, the performance requirements of the sub-units are determined according to the input parameters, the performance indicators of the sub-units are further determined according to the performance requirements of the sub-units, and the performance indicators of the sub-units are further decomposed by using the parameter diagram until the smallest unit.

[0049] Taking the specific requirements of the specific impulse and the thrust of the power system as examples, the equation (i.e., the performance indicator calculation model) is defined by using the constraint block in the parameter diagram, the output parameters of the constraint block are determined according to the performance indicators (i.e., the thrust and the specific impulse) that need to be considered by the unit (i.e., the power system), and the binding relationship between the value attribute representing the performance indicators in the unit and the output parameters is established by using the binding connector; the input parameters are determined according to the necessary input parameters of the equation in the constraint block (at least including: engine / thruster mixture ratio, engine / thruster chamber pressure, engine / thruster fuel flow, engine / thruster oxidant flow, and engine / thruster total flow); at the same time, the performance requirements of the sub-unit (i.e., the engine / thruster analyzer) are determined according to the input parameters of the constraint block, the performance indicators of the sub-unit are determined according to the performance requirements of the sub-unit, and the value attributes corresponding to the performance indicators are established in the sub-unit, and the input parameters of the constraint block and the value attributes of the sub-unit are bound by using the binding connector.

[0050] Step 13: determining the structure model of the power system based on the module definition diagram and the internal module diagram; wherein the structure model includes the composition relationship and the structure relationship between the units of the power system at each level.

[0051] In the implementation, in the process of gradually decomposing the functions in step 11, the decomposed functions are gradually allocated to the sub-units by using the activity partitions in the activity diagram, so that the composition relationship of the units of the power system at each level can be determined, and then the composition and structure relationship of the units at each level are described by using the module definition diagram and the internal module diagram, and finally the structure model of the power system is obtained. The module definition diagram defines the units according to the characteristics of the units and the structure relationship between the units and other units, and the units are represented by blocks; the internal module diagram represents the connection relationship between the constituent sub-units in the unit, and the actual interface relationship between the sub-units can be determined by using the connection relationship.

[0052] In an embodiment, for the step S102, i.e., when identifying the fault mode of the power system based on the system model, the following methods can be used, including but not limited to the following steps 21 to 23:

[0053] Step 21: For each function in the activity graph, map the multiple execution states of the function to the corresponding unit, obtain the function failure mode of the unit executing the function, and establish the correlation between the function failure mode and the unit executing the function.

[0054] In specific implementation, the function failure is identified by using the activity graph, and multiple execution states of the function are preset for the power system, including function loss, partial function loss, function degradation, function excess, function interruption, function delay, and unexpected function. For each function of the power system represented by an action in the activity graph, the multiple execution states of the function are mapped to the corresponding unit, the function failure mode of the unit executing the function is obtained, and the correlation between the function failure mode and the unit executing the function is established. The function failure modes of all units of the power system constitute the function failure mode of the power system. For example, the function failure mode identified for "power supply inside the power system" can be "failure to supply power / gas normally and monitor", which includes "failure to supply power", "failure to supply gas", and "failure to monitor", and the unit related to the function failure mode is "electronic circuit control and monitoring subsystem".

[0055] Step 22: Based on the relationship between the parameters of the constraint block and the value attribute of the unit in the parameter graph, map the performance deviation corresponding to the parameters of the constraint block to the corresponding unit, obtain the performance deviation failure mode of the unit, and establish the correlation between the performance deviation failure mode and the unit.

[0056] In specific implementation, for each parameter of the constraint block in the parameter graph, the corresponding performance deviation is obtained by listing counterexamples that the parameter cannot achieve, and the counterexamples include overestimation and underestimation of the parameter. Then, the identified performance deviation is mapped to the corresponding unit by using the binding relationship between the parameters of the constraint block and the value attribute of the unit, the performance deviation failure mode of the unit is obtained, and the correlation between the performance deviation failure mode and the unit is established. The performance deviation failure modes of all units of the power system constitute the performance deviation failure mode of the power system. Taking the thrust of the power system as an example, the identified performance deviation includes that the thrust value is higher than the rated value, the thrust value is lower than the rated value, and the thrust is zero. According to the binding relationship between the constraint block of the thrust value and the value attribute of the unit, the performance deviation of the thrust can be mapped to the engine / thruster subsystem.

[0057] Step 23: determining the structural failure modes of the minimum parts and interfaces between units of the power system, determining the structural failure modes of units containing the minimum parts or interfaces based on the module definition diagram and the internal module diagram, and establishing the correlation between the structural failure modes and the units; wherein the structural failure modes of the power system include: the structural failure modes of the parts, the structural failure modes of the subassemblies, and the structural failure modes of the subsystems.

[0058] In specific implementation, starting from the minimum parts of the power system and the interface relationships between all units (including parts, subassemblies, and subsystems) constituting the power system, the external environmental load and the working load borne by them are analyzed, and the structural failure modes of the minimum parts and interfaces are determined in combination with failure simulation analysis. Then, for any structural failure mode of the minimum part, the structural failure mode of the subassembly containing the part is identified, and the structural failure mode of the subsystem containing the subassembly is further obtained. Similarly, for the structural failure mode of the interface, the structural failure modes of the parts, subassemblies, and subsystems containing the interface are identified, and the correlation between the above structural failure modes and the corresponding units is established. The structural failure modes of all units of the power system constitute the structural failure modes of the power system. Taking the regenerative cooling system as an example, assuming that the structural failure mode of the "thrust chamber inner wall" is "thrust chamber inner wall crack" determined by failure simulation analysis, the structural failure mode of the "cooling channel" containing the "thrust chamber inner wall" can be identified based on the module definition diagram and the internal module diagram, and the structural failure mode of the "regenerative cooling body" containing the "cooling channel" can be identified. Assuming that the structural failure mode of the "regenerative cooling body and the nozzle welding interface" is "regenerative cooling body and nozzle welding interface crack" determined by failure simulation analysis, the structural failure of the "regenerative cooling body" containing the "regenerative cooling body and the nozzle welding interface" can be identified based on the module definition diagram and the internal module diagram.

[0059] In one embodiment, for the aforementioned step S103, i.e., when identifying the fault transmission relationship of the power system failure mode based on the system model, the following methods can be used, including but not limited to the following steps 31 to 35:

[0060] Step 31: identifying the fault transmission relationship based on the activity diagram.

[0061] In specific implementation, the fault transmission relationship is identified based on the activity diagram, including the following steps 311 to 313:

[0062] Step 311: identifying the fault transmission relationship of the function failure mode of the lower-level function to the upper-level function based on the composition relationship between the upper-level function and the lower-level function.

[0063] Specifically, the failure transmission relationship of the failure of the next level function to the failure of the previous level function is identified according to the composition relationship between the previous level function and the next level function in the function decomposition process. For example, the function of "combusting propellant and generating thrust" can be further decomposed into "cooling the fuel in the thrust chamber", "distributing, injecting, and atomizing the propellant", "combusting the propellant in the combustion chamber", and "accelerating the ejection of the combustion gas". The identified function failure of "combusting propellant and generating thrust" is "the thrust chamber does not work normally", which includes "unstable thrust", "the thrust chamber does not generate thrust", "low specific impulse", and "small thrust of the thrust chamber"; the identified function failure of "accelerating the ejection of the combustion gas" is "the combustion gas is not ejected at the required acceleration"; and the failure transmission relationship of the function failure mode "the combustion gas is not ejected at the required acceleration" of the next level function to the function failure modes "low specific impulse" and "small thrust of the thrust chamber" of the previous level function can be identified according to the composition relationship between the previous level function "combusting propellant and generating thrust" and the next level function "accelerating the ejection of the combustion gas", that is, "the combustion gas is not ejected at the required acceleration" will cause "low specific impulse" and "small thrust of the thrust chamber".

[0064] Step 312: identifying the failure transmission relationship of the structural failure mode of the unit to the function of the activity partition in which the function is located in the activity graph.

[0065] Specifically, the influence of the structural failure of the unit on the function in the corresponding activity partition in the activity graph, that is, the failure transmission relationship therebetween, is identified. For example, for the function "propellant injection and atomization" in the activity partition in which the "injector" is located in the activity graph, it can be identified that the structural failure of the injector will cause the functional failure "propeller atomization does not meet the requirements" of the injector, and the failure transmission relationship of the structural failure mode of the injector to the function is established.

[0066] Step 313: identifying the failure transmission relationship of the corresponding function failure mode of the function outputting the object flow or the control flow to the function inputting the object flow or the control flow in the activity graph, wherein the object flow and the control flow represent the relationship between functions.

[0067] Specifically, the influence of the corresponding function failure mode of the function outputting the "flow" (including the object flow and the control flow) to the corresponding function failure mode of the function inputting the "flow" is identified according to the "flow" in the activity graph, that is, the failure transmission relationship therebetween. For example, there is an activity flow between the function "propellant distribution, injection, and atomization" and the function "combustion chamber propellant combustion", and the failure transmission relationship of the corresponding function failure mode "propellant distribution, injection, and atomization do not meet the requirements" of the function "propellant distribution, injection, and atomization" to the corresponding function failure mode "insufficient propellant combustion" of the function "combustion chamber propellant combustion" can be identified.

[0068] Step 32: Identify the structure failure transmission relationship based on the module definition graph.

[0069] In the specific implementation, the transmission relationship of the part structure failure mode to the component structure failure mode, the transmission relationship of the component structure failure mode to the subsystem structure failure mode, and the transmission relationship of the subsystem structure failure mode to the power system structure failure mode are identified by using the composition relationship of each unit in the module definition graph.

[0070] Step 33: Identify the performance deviation transmission relationship based on the parameter graph.

[0071] In the specific implementation, the performance deviation transmission relationship is identified according to the parameter graph. Based on the relationship between the input parameters and the output parameters of the constraint block of the parameter graph, the value attribute of the unit bound to the input parameter of the constraint block is identified. The performance deviation failure mode corresponding to the value attribute of the unit bound to the output parameter of the constraint block is identified. Specifically, according to the relationship between the input parameters and the output parameters of the constraint block in the parameter graph, the fault transmission relationship of the performance deviation corresponding to the value attribute of the unit bound to the input parameter of the constraint block to the performance deviation corresponding to the value attribute of the unit bound to the output parameter of the constraint block is established. For example, according to the parameter graph of the regenerative cooling subsystem, it can be obtained that there is an association relationship between the output parameter "thrust chamber thrust" and the input parameters "combustion chamber mixture ratio", "combustion chamber combustion efficiency", "combustion chamber pressure", and "nozzle expansion ratio". Therefore, it can be determined that the performance deviation failure mode (such as "combustion chamber combustion efficiency is low" and "combustion chamber pressure is lower than the required value") corresponding to the input parameters "combustion chamber mixture ratio", "combustion chamber combustion efficiency", "combustion chamber pressure", and "nozzle expansion ratio" has a performance deviation transmission relationship with the performance deviation failure mode (such as "thrust chamber thrust is lower than the required value") of "thrust chamber thrust".

[0072] Step 34: For each unit, obtain the functional failure failure mode and the performance deviation failure mode related to the unit through keyword search, and identify the fault transmission relationship of the performance deviation failure mode to the functional failure failure mode.

[0073] In the specific implementation, for a unit of the power system, the functional failure and the performance deviation related to the unit can be obtained through keyword search, and then the pre-formed judgment device is used to identify the fault transmission relationship of the performance deviation failure mode of the unit to the functional failure failure mode. The pre-formed judgment device can identify all performance deviations and functional failures of a unit by identifying the keywords of the performance deviations and the functional failures and pairing them, and output the combination of the performance deviations and the functional failures that have fault transmission impact. The performance deviations in the combination will cause the functional failure.

[0074] Step 35: identifying the fault transfer relationship between the structural failure mode and the performance deviation failure mode in the same unit based on the pre-established power system simulation system, and identifying the fault transfer relationship between the functional failure mode and the performance deviation failure mode in the same unit or adjacent unit.

[0075] In a specific implementation, the influence of the structural failure of a part on the performance of the same unit and the influence of the functional failure of the unit on the performance deviation of the same unit or adjacent unit, i.e., the fault transfer relationship between the two, are identified by using the pre-established power system simulation system.

[0076] Specifically, the power system simulation system includes simulation analysis models of flow, combustion, heat transfer, structure, etc. of all constituent subsystems, subassemblies, and parts of the power system. For a certain unit, given the structural failure state of a part, the power system simulation system first quantizes the structural failure according to the given structural failure category, and autonomously calls the simulation model related to the structural failure. The values of all value attributes of the unit are obtained through simulation and compared with the rated values. If the values of the value attributes deviate from the rated values, it is determined that the structural failure of the part will lead to the performance deviation corresponding to the value attributes. Similarly, for a certain input functional failure, the functional failure is first quantized, the simulation model related to the function is called and simulated, and all possible value attributes of the unit related to the function are obtained. By comparing with the rated values, it is determined whether there is a transfer relationship between the above functional failure and the related performance deviation.

[0077] In one embodiment, for the aforementioned step S105, i.e., generating the power system FMEA entry based on the power system failure mode and the fault transfer relationship matrix, the following methods can be used, including but not limited to: first, establishing a power system FMEA entry table; wherein the power system FMEA entry table at least includes the following fields: serial number, failure mode, failure type, related unit, cause, influence, fault occurrence level, fault hazard level, and risk priority number; then, searching for the field contents corresponding to the failure mode, failure type, related unit, cause, and influence based on the power system failure mode and the fault transfer relationship matrix; finally, determining the field contents corresponding to the fault occurrence level and the fault hazard level in response to user input, and determining the field contents corresponding to the risk priority number based on the fault occurrence level and the fault hazard level, to generate the power system FMEA entry.

[0078] In a specific implementation, the power system FMEA entry table includes columns of serial number, failure mode, failure type, related unit, cause, influence, failure occurrence level, failure hazard level and risk priority number. The automatic search and assignment of each column in the table is realized by setting software development, thereby realizing the automatic generation of the FMEA entry. Specifically, the field contents of the failure mode, failure type, related unit, cause and influence are searched from the power system failure mode and failure transmission relationship matrix, the field contents of the failure occurrence level and failure hazard level are determined by user input, and then the field content of the risk priority number is automatically generated according to the field contents of the failure occurrence level and failure hazard level (i.e. the risk priority number is obtained by multiplying the failure occurrence level and the failure hazard level).

[0079] In the embodiment of the application, the failure mode is used to search and display all failure modes of the power system; the failure type is used to display a preset category to which the failure mode belongs, that is, one of functional failure, performance deviation and structural failure; the related unit is searched for a unit having a correlation with the failure, and the unit where the failure occurs is displayed; the cause and the influence are searched for failure modes having a failure transmission relationship with the failure mode researched in the row and displayed according to the directionality of the failure transmission relationship, wherein the cause column searches for a failure mode having a failure transmission relationship with the failure mode researched in the row and pointing to the aforementioned failure, and the influence column searches for a failure mode having a failure transmission relationship with the failure mode researched in the row and pointed to by the failure; the failure occurrence level is used to select a level according to the occurrence probability of the failure mode in the row, and is divided into 1-10 levels; the failure hazard level is selected according to the hazard degree generated after the failure mode in the row occurs, and is divided into 1-10 levels; and the risk priority number is the product of the failure occurrence level and the failure hazard level, which is automatically calculated and generated by the program.

[0080] The above method provided by the embodiment of the application identifies the failure transmission relationship according to the system model and models in the form of a matrix list, avoids the dependence on personal experience and ability in the power system failure mode and influence analysis, solves the problem that the failure mode is too many and the failure transmission relationship is too complex to be combed in a complex system, makes the power system failure transmission relationship identification process more comprehensive and more accurate, and realizes the automatic generation of the FMEA entry and high efficiency and time saving.

[0081] For ease of understanding, the embodiment of the application further provides another flowchart of the model-based power system failure mode and influence analysis method, as shown in Figure 3 The flowchart includes the following steps S1 to S5:

[0082] Step S1: power system modeling based on the SysML language.

[0083] Step S2: identifying the failure mode according to the system model.

[0084] Step S3: identifying the fault transmission relationship according to the system model.

[0085] Step S4: modeling the fault transmission relationship.

[0086] Step S5: generating the power system FMNA entry.

[0087] It should be noted that the method provided by the embodiment has the same implementation principle and technical effects as the foregoing embodiments, and thus will not be described here.

[0088] For the model-based power system failure mode and effect analysis method provided by the foregoing embodiments, the embodiment of the present application further provides a model-based power system failure mode and effect analysis device. Figure 4 As shown in a structural schematic diagram of a model-based power system failure mode and effect analysis device, the device mainly includes the following parts:

[0089] The system model construction module 401 is configured to acquire the development requirements of the power system and construct a system model of the power system based on the development requirements; wherein the system model includes an activity diagram, a parameter diagram module, a module definition diagram and an internal module diagram.

[0090] The failure mode identification module 402 is configured to identify the failure mode of the power system based on the system model; wherein the system failure mode includes a functional failure mode, a performance deviation failure mode and a structural failure mode.

[0091] The fault transmission relationship identification module 403 is configured to identify the fault transmission relationship of the power system failure mode based on the system model.

[0092] The fault transmission relationship matrix construction module 404 is configured to model the fault transmission relationship to obtain a fault transmission relationship matrix.

[0093] The FMEA entry generation module 405 is configured to generate the power system FMEA entry based on the power system failure mode and the fault transmission relationship matrix.

[0094] The model-based power system failure mode and effect analysis device provided by the present application can identify the power system failure mode and the fault transmission relationship according to the system model of the power system, model the fault transmission relationship in the form of a matrix list, avoid the dependence on personal experience and ability in the power system failure mode and effect analysis, solve the problem of complex fault mode and complex fault transmission relationship in complex systems, make the power system failure mode and effect analysis process more comprehensive and accurate, and automatically generate the power system FMEA entry, which is more efficient and time-saving.

[0095] It should be noted that the device provided by the embodiment of the present application, the implementation principle and the technical effects generated are the same as the foregoing method embodiments, and for brief description, the part not mentioned in the device embodiment can be referred to the corresponding content in the foregoing method embodiments.

[0096] The embodiment of the present application further provides an electronic device, and specifically, the electronic device comprises a processor and a storage device; the storage device stores a computer program, and the computer program performs the method according to any one of the foregoing embodiments when the computer program is run by the processor.

[0097] Figure 5 The structure schematic diagram of the electronic device provided by the embodiment of the present application is shown in the figure, and the electronic device 100 comprises a processor 50, a memory 51, a bus 52 and a communication interface 53, the processor 50, the communication interface 53 and the memory 51 are connected through the bus 52; the processor 50 is used for executing the executable module stored in the memory 51, for example, a computer program.

[0098] The memory 51 can contain a high-speed random access memory (RAM) and can also include a non-volatile memory, for example, at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 53 (which can be wired or wireless), and the Internet, a wide area network, a local area network, a metropolitan area network, etc. can be used.

[0099] The bus 52 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, Figure 5 Only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0100] The memory 51 is used for storing a program, and the processor 50 executes the program after receiving an execution instruction; the method executed by the device defined by the flow process disclosed in any one of the foregoing embodiments of the present application can be applied to the processor 50 or realized by the processor 50.

[0101] The processor 50 can be an integrated circuit chip with signal processing capability. In implementation, each step of the above method can be completed by integrated logic circuit of hardware in the processor 50 or by instructions in the form of software. The processor 50 described above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. Each method, step and logic block diagram disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium in the art. The storage medium is located in the memory 51, and the processor 50 reads the information in the memory 51, and combines the hardware to complete the steps of the above method.

[0102] The computer program product of the readable storage medium provided by the embodiments of the present application comprises a computer readable storage medium storing program codes, and the program codes comprise instructions for executing the method described in the foregoing method embodiments. For specific implementation, reference can be made to the foregoing method embodiments, which will not be described here.

[0103] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of software products. The computer software product is stored in a storage medium and includes instructions for making a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0104] Finally, it should be noted that: the above-described embodiments are only specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit them. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily think of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed by the present application, or make equivalent replacements to some of the technical features. The modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A model-based power system failure mode and effects analysis method, characterized by, The method comprises the following steps: obtaining development requirements of a power system, and constructing a system model of the power system based on the development requirements; wherein the system model comprises an activity graph, a parameter graph model, a module definition graph and an internal module graph; identifying a power system failure mode based on the system model; wherein the power system failure mode comprises a functional failure mode, a performance deviation failure mode and a structural failure mode; identifying a failure transmission relationship of the power system failure mode based on the system model; modeling the failure transmission relationship to obtain a failure transmission relationship matrix; generating a power system FMEA item based on the power system failure mode and the failure transmission relationship matrix; identifying a failure transmission relationship of the power system failure mode based on the system model comprises: identifying a failure transmission relationship based on the activity graph; identifying a structural failure transmission relationship based on the module definition graph; wherein the structural failure transmission relationship comprises a transmission relationship of a structural failure mode of a part to a structural failure mode of a subassembly, a transmission relationship of a structural failure mode of a subassembly to a structural failure mode of a subsystem, and a transmission relationship of a structural failure mode of a subsystem to a structural failure mode of the power system; identifying a performance deviation transmission relationship based on the parameter graph; for each unit, obtaining a functional failure mode and a performance deviation failure mode related to the unit through keyword search, and identifying a failure transmission relationship of the performance deviation failure mode to the functional failure mode; identifying a failure transmission relationship of a structural failure mode to a performance deviation failure mode in the same unit, and a failure transmission relationship of a functional failure mode to a performance deviation failure mode of the same unit or an adjacent unit based on a pre-established power system simulation system.

2. The method of claim 1, wherein, constructing a system model of the power system based on the development requirements comprises: based on the functional requirements of the power system, decomposing the functions of the power system step by step using the activity graph, and allocating the decomposed functions to corresponding sub-units step by step based on the activity partition in the activity graph to determine the composition relationship between the functions of the power system; wherein there is a composition relationship between the upper-level function and the lower-level function that have a decomposition relationship, and the sub-units include subsystems, subassemblies and parts of the power system; based on the performance requirements of the power system, determining the performance indicators of each unit, establishing a performance indicator calculation model using the constraint block of the parameter graph, determining the input parameters of the performance indicator calculation model, determining the performance requirements of the sub-units based on the input parameters, determining the performance indicators of the sub-units based on the performance requirements of the sub-units, and decomposing the performance indicators of the sub-units based on the parameter graph until the smallest unit of the power system is decomposed; wherein the parameters of the constraint block include input parameters and output parameters, the input parameters are bound to the value attributes in the sub-units that represent the performance indicators of the sub-units, the output parameters are determined by the performance indicators of the units and are bound to the value attributes in the units that represent the performance indicators of the units; determine a structure model of the power system based on the module definition graph and the internal module graph; wherein the structure model comprises a composition relationship and a structure relationship between units at each level of the power system.

3. The method of claim 1, wherein, identify a power system failure mode based on the system model, comprising: map a plurality of execution states of each function in the activity graph to corresponding units to obtain a function failure mode of the unit executing the function, and establish a correlation between the function failure mode and the unit executing the function; map a performance deviation of a parameter of a constraint block in the parameter graph to a value attribute of a corresponding unit based on a relationship between the parameter of the constraint block and the value attribute of the unit, to obtain a performance deviation failure mode of the unit, and establish a correlation between the performance deviation failure mode and the unit; determine a structure failure mode of a minimum part and an interface between units of the power system, determine a structure failure mode of a unit containing the minimum part or the interface based on the module definition graph and the internal module graph, and establish a correlation between the structure failure mode and the unit; wherein the structure failure mode of the power system comprises: a structure failure mode of a part, a structure failure mode of a subassembly, and a structure failure mode of a subsystem.

4. The method of claim 1, wherein, identify a failure propagation relationship based on the activity graph, comprising: identify a failure propagation relationship of a function failure mode of a next-level function to a previous-level function based on a composition relationship between the next-level function and the previous-level function; identify a failure propagation relationship of a structure failure mode of a unit to a function of an activity partition based on an activity partition in which the function in the activity graph is located; identify a failure propagation relationship of a function failure mode corresponding to a function outputting an object flow or a control flow to a function inputting the object flow or the control flow based on an object flow and a control flow in the activity graph; wherein the object flow and the control flow represent a relationship between the functions.

5. The method of claim 1, wherein, identify a performance deviation propagation relationship based on the parameter graph, comprising: identify a performance deviation propagation relationship of a performance deviation failure mode corresponding to a value attribute of a unit bound to an input parameter of a constraint block to a performance deviation failure mode corresponding to a value attribute of a unit bound to an output parameter of the constraint block based on a relationship between the input parameter and the output parameter of the constraint block in the parameter graph.

6. The method of claim 1, wherein, generate a power system FMEA entry based on the power system failure mode and the failure propagation relationship matrix, comprising: establish a power system FMEA entry table; wherein the power system FMEA entry table comprises at least the following fields: serial number, failure mode, failure type, related unit, cause, impact, failure occurrence level, failure hazard level, and risk priority number; search for field contents corresponding to the failure mode, failure type, related unit, cause, and impact based on the power system failure mode and the failure propagation relationship matrix. In response to the user input, field contents corresponding to the failure occurrence level and the failure hazard level are determined, and field contents corresponding to the risk priority number are determined based on the failure occurrence level and the failure hazard level, and a power system FMEA entry is generated.

7. A model-based power system failure mode and effects analysis apparatus, characterized by, The method comprises the following steps: A system model construction module is configured to acquire development requirements of a power system and construct a system model of the power system based on the development requirements; wherein the system model comprises an activity diagram, a parameter diagram, a module definition diagram, and an internal module diagram; A failure mode identification module is configured to identify power system failure modes based on the system model; wherein the power system failure modes comprise functional failure modes, performance deviation failure modes, and structural failure modes; A failure propagation relationship identification module is configured to identify failure propagation relationships of the power system failure modes based on the system model; A failure propagation relationship matrix construction module is configured to model the failure propagation relationships to obtain a failure propagation relationship matrix; An FMEA entry generation module is configured to generate a power system FMEA entry based on the power system failure modes and the failure propagation relationship matrix. The failure propagation relationship identification module is specifically configured to: identify failure propagation relationships based on the activity diagram; identify structural failure propagation relationships based on the module definition diagram; wherein the structural failure propagation relationships comprise transmission relationships of structural failure modes of parts to structural failure modes of subassemblies, transmission relationships of structural failure modes of subassemblies to structural failure modes of subsystems, and transmission relationships of structural failure modes of subsystems to structural failure modes of the power system; identify performance deviation transmission relationships based on the parameter diagram; for each unit, acquire functional failure modes and performance deviation failure modes having a correlation relationship with the unit through keyword search, and identify failure propagation relationships of the performance deviation failure modes to the functional failure modes; identify failure propagation relationships of structural failure modes to performance deviation failure modes in the same unit based on a pre-established power system simulation system, and identify failure propagation relationships of the functional failure modes to performance deviation failure modes of the same unit or adjacent units.

8. An electronic device, comprising: The computer program is executed by the processor to perform the steps of the method of any one of claims 1 to 6.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to perform the steps of the method of any one of claims 1 to 6.

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