Maintenance priority evaluation model construction method and maintenance priority evaluation method

Abstract

The invention provides a maintenance priority evaluation model construction method and a maintenance priority evaluation method, and belongs to the technical field of combined transmission generators and maintenance auxiliary decision-making, and the method comprises the steps: building a database of fault information and maintenance information of a combined transmission generator; establishing a fault propagation model of the combined transmission generator based on the system function parameters of the combined transmission generator, the interaction information among the parts of the components and the database; and carrying out survival SIGNATURE analysis on parts of the combined transmission generator based on a composition structure model of the combined transmission generator and the fault propagation model, and sorting analysis results to obtain a maintenance priority evaluation model for evaluating the maintenance priority of each part in the combined transmission generator. The technical problem of low maintenance efficiency in the prior art is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of combined transmission generators and maintenance auxiliary decision-making, and in particular to the construction of a maintenance priority evaluation model and a maintenance priority evaluation method. Background Art

[0002] The combined drive generator is a crucial component of an aircraft's AC power system, ensuring the supply of three-phase AC power with stable voltage and frequency to the aircraft's electrical circuits. It typically consists of a constant-speed drive and an AC generator. Due to the numerous components and accessories, a combined drive generator must be repaired according to base-level maintenance requirements when it fails or reaches its scheduled overhaul date. This involves multiple steps, including disassembly, fault detection, flaw detection, complete disassembly, repair, and commissioning. These processes are rigorous and complex, resulting in a complex maintenance process.

[0003] Traditional maintenance methods for combined drive generators weaken pre-disassembly fault detection and other inspection steps. For combined drive generators that have already been repaired at the factory, maintenance personnel generally choose to completely disassemble the entire machine, removing all components, assemblies, and parts. They then conduct detailed visual inspections, dimensional inspections, and flaw detection on each smallest unit. They then repair or replace the smallest unit that has a fault according to the maintenance manual. This results in a large amount of redundant time during the maintenance process, significantly extending maintenance time. Furthermore, with the advent of the Internet of Things and big data, a large amount of unused data has accumulated during the design, commissioning, testing, use, and maintenance of various equipment and devices. A new method for evaluating component priorities is urgently needed to help maintenance personnel assess maintenance priorities. Summary of the Invention

[0004] In view of this, it is necessary to provide a maintenance priority evaluation model and a maintenance priority evaluation method to solve the technical problem of low maintenance efficiency in existing technologies.

[0005] In order to achieve the above technical effects, in a first aspect, the present invention provides a method for constructing a maintenance priority evaluation model, comprising: Establish a database of fault information and maintenance information about combination drive generators; Establishing a fault propagation model of the combined drive generator based on system function parameters of the combined drive generator, interaction information between components and parts, and the database; A survival SIGNATURE analysis is performed on the components of the combined drive generator based on the composition structure model of the combined drive generator and the fault propagation model. The analysis results are sorted to obtain a maintenance priority evaluation model for evaluating the maintenance priority of each component in the combined drive generator, wherein the composition structure model includes: different levels obtained by dividing the components of the combined drive generator according to function and structure.

[0006] In some embodiments of the present invention, the step of establishing a database of fault information and maintenance information about the combined drive generator includes: Collect all known fault mode codes and the corresponding fault location information for each type of fault mode, where each code can uniquely identify each fault type. The fault location information includes: equipment components and system modules; Collect the frequency of occurrence and severity level of each type of failure mode; Design data templates, including failure mode codes, failure location, frequency, and severity levels; Design a database structure for storing failure mode codes, fault locations, frequency, and severity levels, define appropriate data types and lengths for each data point, and populate the database with all collected data.

[0007] In some embodiments of the present invention, establishing a fault propagation model of the combined transmission generator based on system function parameters of the combined transmission generator, interaction information between components and parts, and the database includes: Acquiring system function parameters of the combined drive generator and interaction information between components and parts; Performing a failure mode, consequence, and severity analysis on a single failure mode of the combined drive generator based on the system function parameters and a database to obtain an FMECA table; Performing a fault tree analysis on the associated failure modes of the combined transmission generator based on the interaction information between the components and parts and a database to obtain a fault tree; The FMECA table and the fault tree are integrated to obtain the fault propagation model.

[0008] In some embodiments of the present invention, the failure mode, consequence, and severity analysis is performed on a single failure mode of the combined drive generator based on the system function parameters and the database to obtain an FMECA table, including: The failure mode types, occurrence frequencies, and failure severity levels in the database are generated into an FMECA table, wherein the FMECA table includes at least: a description of the failure mode, a location or system where the failure occurs, a cause of the failure, consequences of the failure on various levels of the system, a severity level of the failure, and a frequency of the failure.

[0009] In some embodiments of the present invention, performing a fault tree analysis on the associated failure modes of the combined drive generator based on the interactive information between the components and parts and a database to obtain a fault tree includes: Data of various types of associated fault modes are extracted from the database to construct a fault tree.

[0010] In some embodiments of the present invention, performing survival SIGNATURE analysis on components of the combined transmission generator based on the structural model of the combined transmission generator and the fault propagation model includes: Obtaining a structural model of the combined drive generator to divide the components of the combined drive generator into several different levels according to their functions and structures; Based on the fault propagation model, survival SIGNATURE analysis is performed on different components at the same level.

[0011] In some embodiments of the present invention, obtaining the structural model of the combined drive generator to divide the components of the combined drive generator into several different levels according to their functions and structures includes: Establishing hierarchical structural relationships from system to subsystem, sub-subsystem, component, assembly and part based on the hierarchical structural relationship of the combined drive generator and the power supply system to which the combined drive generator belongs; Based on the hierarchical relationships of the various levels of structure, the components in each level are analyzed and described to obtain the connection relationships between the various components, assemblies and parts.

[0012] In some embodiments of the present invention, performing survival SIGNATURE analysis on different components at the same level based on the fault propagation model includes: Counting the frequency of fault occurrence of each minimum cut set in the fault tree, wherein the minimum cut set refers to the most basic set of events that lead to system failure in fault tree analysis; Obtain the fatality of the failure mode based on the frequency of the failure mode and the severity level of the failure; Based on the fatality of the failure mode, all components, assemblies and parts in each level are standardized and scored, and the maintenance priority evaluation model is constructed:

[0013] in, OFD Failure mode frequency, ED Indicates the fault severity level, FD Indicates the fatality of the failure mode; Design parts i Failure FD for , define the part i At the border t At that time

[0014] in, MRI represents the edge reliability importance, and represents the conditional survival function; type k Two parts of i , j At the border t When is defined as

[0015] in, JRI represents the joint reliability importance, represents the probability density function, represents the joint probability, and represents the conditional survival function; type a Parts i and type b Parts j , then the corresponding JRI for:

[0016] JRI represents the joint reliability importance, represents the probability density function, represents the joint probability, and represents the conditional survival function.

[0017] In a second aspect, this aspect also provides a maintenance priority evaluation method, comprising: Constructing a maintenance priority evaluation model based on the method for constructing a maintenance priority evaluation model described in any one of the above methods; Evaluate the maintenance priority of components at each level based on the maintenance priority evaluation model; Based on the priority of the parts to be repaired, the parts at each level are classified into three levels from strong to weak, and divided into priority parts, second priority parts and general parts from top to bottom.

[0018] In some embodiments of the present invention, when a new maintenance task appears or a current maintenance task is completed, the priorities of all maintenance tasks are re-evaluated based on the maintenance priority evaluation model, and the maintenance plan is adjusted accordingly.

[0019] The beneficial effects of the present invention are as follows: the present invention provides a method for constructing a turbine life prediction model. The present invention mainly constructs a fault propagation model by utilizing all fault information, data, and fault repair information accumulated after the combined transmission generator of this type is put into use, conducts quantitative and qualitative analysis of all fault modes, and uses survival SIGNATURE to combine the frequency and severity of various fault modes to establish a standardized evaluation system, evaluates the priority of all components of this type of combined transmission generator to be repaired, establishes a repair priority evaluation model, and based on this evaluation model, helps maintenance personnel make specific repair choices. This method utilizes the fault information and fault data accumulated during use to help maintenance personnel better make repair choices, reduce time costs, and improve maintenance efficiency, thereby effectively solving the technical problem of low maintenance efficiency in existing technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A schematic flow chart of an embodiment of a method for constructing a turbine life prediction model provided by the present invention; Figure 2 for Figure 1 A flow chart of an embodiment of step S101; Figure 3 for Figure 1 A flow chart of an embodiment of step S102; Figure 4 for Figure 1 A flow chart of an embodiment of step S103; Figure 5 for Figure 4 A flow chart of an embodiment of step S401; Figure 6 for Figure 4 A flow chart of an embodiment of step S402; Figure 7 A flowchart of an embodiment of a maintenance priority evaluation method provided by the present invention; Figure 8 A schematic flow chart of the maintenance priority evaluation of the combined drive generator provided by the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] In the description of the embodiments of the present invention, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship between associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone.

[0024] The terms "first," "second," and so on, used in the embodiments of the present invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, technical features designated as "first" or "second" may explicitly or implicitly include at least one such feature.

[0025] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0026] The present invention provides a maintenance priority evaluation model and a maintenance priority evaluation method, which are respectively described below.

[0027] like Figure 1 As shown, in a first aspect, the present invention provides a method for constructing a maintenance priority evaluation model, comprising: S101. Establish a database of fault information and maintenance information about the combined drive generator.

[0028] like Figure 2 In some embodiments of the present invention, step S101 includes: S201: Collect all known fault mode codes of various types and fault location information corresponding to each type of fault mode, wherein each code can uniquely identify each fault type, and the fault location information includes: equipment components and system modules.

[0029] Preferably, all known failure mode codes of various types provided by the design department are collected, each code can uniquely identify each failure type, and the failure location information of the corresponding failure type provided by the design department is collected, including equipment components, system modules, etc.

[0030] S202. Collect the occurrence frequency and fault severity level of each type of failure mode.

[0031] Preferably, the frequency of occurrence of all types of failure modes and the severity of failures provided by the maintenance department during the maintenance process are collected. The frequency of failure modes can be obtained through maintenance records, failure reports, etc. The severity of failures is usually assessed based on the impact of the failure on equipment performance, safety or production.

[0032] S203. Design a data template, including a failure mode code, failure location, occurrence frequency, and severity level.

[0033] S204. Design a database structure for storing fault mode codes, fault locations, occurrence frequencies, and severity levels, define appropriate data types and lengths for each data point, and fill all collected data into the database.

[0034] S102 : establishing a fault propagation model of the combined transmission generator based on system function parameters of the combined transmission generator, interaction information between components and parts, and a database.

[0035] like Figure 3 In some embodiments of the present invention, step S102 includes: S301. Obtain system function parameters of the combined transmission generator and interaction information between components and parts.

[0036] S302: Perform a failure mode, consequence, and severity analysis on a single failure mode of the combined drive generator based on system function parameters and a database to obtain an FMECA table.

[0037] In some embodiments of the present invention, step S302 includes: creating an FMECA table based on the failure mode type, occurrence frequency, and failure severity level in the database.

[0038] Preferably, the FMECA form will include but not be limited to the following: description of the failure mode, location or system where the failure occurs, cause of the failure, consequences of the failure on systems at all levels, severity level of the failure, and frequency of failure. The form will be provided to relevant technical personnel and maintenance personnel, who can use it to assess its impact on equipment performance and safety. Typical images of relevant failure modes will be provided in the form to help relevant technical personnel and maintenance personnel understand the failure mode more intuitively and speed up the fault identification process.

[0039] S303 , performing a fault tree analysis on the associated failure modes of the combined transmission generator based on the interaction information between the components and the database to obtain a fault tree.

[0040] In some embodiments of the present invention, step S303 includes: Extract data of various types of associated failure modes from the database and construct a fault tree.

[0041] Preferably, data on various types of related faults are extracted from the maintenance database to automatically construct a fault tree to show the various causes and conditions that lead to a specific fault (top event). At the root of the fault tree, typical pictures of related faults are provided to help relevant technicians and maintenance personnel quickly identify and understand the manifestations of the fault.

[0042] S304. Integrate the FMECA table and the fault tree to obtain a fault propagation model.

[0043] S103 , performing survival SIGNATURE analysis on components of the combined transmission generator based on the component structure model of the combined transmission generator and the fault propagation model, and collating the analysis results to obtain a maintenance priority evaluation model for evaluating the maintenance priority of each component in the combined transmission generator.

[0044] It should be noted that the structural model includes: different levels of components of the combined transmission generator divided according to their functions and structures like Figure 4 In some embodiments of the present invention, step S103 includes: S401. Obtain a structural model of a combined transmission generator to divide components of the combined transmission generator into several different levels according to their functions and structures.

[0045] like Figure 5 In some embodiments of the present invention, step S401 includes: S501. Establishing structural hierarchical relationships from system to subsystem, sub-subsystem, component, assembly and part based on the structural hierarchical relationship of the combined drive generator and the power supply system to which the combined drive generator belongs.

[0046] S502: Analyze and describe the components in each level based on the hierarchical relationship of each level of the structure to obtain the connection relationship between the components, assemblies and parts.

[0047] S402. Perform survival SIGNATURE analysis on different components at the same level based on the fault propagation model.

[0048] It should be noted that survival signature analysis is a mathematical tool used to assess the survival rate of a system or component within a given timeframe. It is particularly applicable to the reliability analysis of multi-state components and multi-state repairable systems (MSC / MSRS). It primarily describes the probability distribution of the survival states and durations of a system or component within a given timeframe. It provides the survival probability of a system or component at different time points, helping to understand the reliability and performance of the system. Its main contents include: Assume that the n parts of a component are independent and identically distributed, and regard them as an n-dimensional probability vector, recorded as , represents the probability that the failure of the i-th component leads to the failure of the entire stator component, that is, =P(T= ), where T represents the failure time of a component.

[0049] Assuming that the lifespans of the n parts in the stator assembly are independent and identically distributed, then The i-th component of can be expressed as: (1) In formula (1), represents the number of permutations that result in the failure of the component due to the failure of the i-th part, is the proportion of the probability that the failure of the i-th part will cause the failure of the component in all parts. Obviously, .

[0050] The above method can be used to evaluate all independent components. Suppose a component contains n parts associated with it. , ,…, is independent and identically distributed, and its distribution function is , if T is the life of the components in the component, there must be , then the state of the system when it fails can be expressed as follows: (2) Assuming that the failure times of parts of the same type are interchangeable, the probability that a part works when there are l parts working out of m parts of the kth type is expressed as ,but: (3) In formula (3),x is the state vector, is its structure function.

[0051] The component structure function is as follows: (4) In formula (4), Indicates that at the boundary condition t, the type k The number of working parts.

[0052] Assume that parts of the same type have a known cumulative distribution function F(t) , and the failure times of different types of parts are independent, then: (5) like Figure 6 In some embodiments of the present invention, step S402 includes: S601: Count the frequency of fault occurrence of each minimum cut set in the fault tree.

[0053] Among them, the minimum cut set refers to the most basic set of events that lead to system failure in fault tree analysis; S602: Obtain the failure mode fatality based on the failure mode occurrence frequency and the failure severity level.

[0054] It should be noted that OFD refers to the number of times the failure mode occurs, and ED Refers to the degree of impact of the failure mode on system performance. By combining these two factors, the degree of harm of each failure mode can be quantitatively evaluated. Using the failure mode fatality as the threshold, all components, assemblies or parts in each level are standardized and scored, thereby constructing a maintenance priority evaluation model for components and accessories of this type of combined drive generator. The calculation formula is as follows: (6) OFD and ED The rating scale is 1-10, so the FD rating scale is 1-100. OFD Level 8 means the frequency of occurrence is high and ED As the marginal limit, we can get FD The marginal limit is 64.

[0055] Design parts i Failure FD for , define the part i exist t At that time (7) type k Two parts ofi , j At the border t When is defined as (8) type a Parts i and type b Parts j , then the corresponding JRI for (9) S603. Standardize the scoring of all components, assemblies, and parts in each level based on the fatality of the failure mode, and build a maintenance priority evaluation model.

[0056] It can be seen that the present invention performs priority grading for components of the same type at the same level and also performs priority grading for components of different types.

[0057] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention proposes a maintenance priority implementation method for a combination drive generator, which uses all fault information and fault data of this type of combination drive generator after it is put into use to establish an FMECA and a fault tree, thereby reducing the waste of fault information and data and improving the utilization rate of fault information and data.

[0058] (2) The component maintenance priority evaluation system established by the present invention based on this type of combined transmission generator effectively considers the structural hierarchical relationship of the combined transmission generator, the severity of various failure modes in FMECA, and the frequency of occurrence of various failure modes, thereby reducing the considerable time consumed in the process of judging the priority of component accessories to be repaired based on human experience and tedious dimensional measurement processes.

[0059] (3) The component maintenance priority evaluation system established by the present invention using the survival SIGNATURE method fully considers the statistical data generated during the use of the equipment or system. The method can also be applied to other types of equipment or systems.

[0060] like Figure 7 In a second aspect, this aspect further provides a maintenance priority evaluation method, comprising: S701: Construct a maintenance priority evaluation model based on the method for constructing a maintenance priority evaluation model described in any one of the above methods.

[0061] S702: Evaluate the maintenance priority of components at each level based on the maintenance priority evaluation model.

[0062] S703. Based on the priority of the parts to be repaired, the parts at each level are classified into three levels from strong to weak, and divided into priority parts, second priority parts and general parts from top to bottom.

[0063] S704: When a new maintenance task appears or the current maintenance task is completed, the priorities of all maintenance tasks are re-evaluated based on the maintenance priority evaluation model, and the maintenance plan is adjusted accordingly.

[0064] like Figure 8 In a specific embodiment, the present invention assesses the maintenance priority of this type of combined drive-generator and prioritizes it based on its structure. In the first disassembly, the constant speed drive takes precedence over the oil-cooled AC generator; in the second disassembly, the pump-motor assembly takes precedence over the gear train assembly; and in the third disassembly, the left pump-motor takes precedence over the motor swashplate. This diagram is merely an illustration of the priority classification and does not represent the correct prioritization.

[0065] In summary, the present invention has the following beneficial effects: a maintenance priority implementation method for a combined drive generator proposed in the present invention uses FMECA and fault trees established by using all fault information and fault data after the combined drive generator is put into use, thereby reducing the waste of fault information and data and improving the utilization rate of fault information and data; the component maintenance priority evaluation system established by the present invention based on the combined drive generator effectively considers the structural hierarchical relationship of the combined drive generator, the severity of various fault modes in FMECA and the frequency of occurrence of various fault modes, and reduces the large amount of time consumed in such processes as judging the priority of parts to be repaired based on human experience and tedious dimensional measurement processes; the component maintenance priority evaluation system established by the present invention using the survival SIGNATURE method fully considers the statistical data generated by the equipment or system during use, and the method can also be applied to other types of equipment or systems.

[0066] The above is a detailed introduction to the construction of a maintenance priority evaluation model and a maintenance priority evaluation method provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for constructing a maintenance priority evaluation model, characterized in that: include: Establish a database of fault information and maintenance information about combination drive generators; Establishing a fault propagation model of the combined drive generator based on system function parameters of the combined drive generator, interaction information between components and parts, and the database; A survival SIGNATURE analysis is performed on the components of the combined drive generator based on the composition structure model of the combined drive generator and the fault propagation model. The analysis results are sorted to obtain a maintenance priority evaluation model for evaluating the maintenance priority of each component in the combined drive generator, wherein the composition structure model includes: different levels obtained by dividing the components of the combined drive generator according to function and structure.

2. The method for constructing a maintenance priority evaluation model according to claim 1, characterized in that: The step of establishing a database of fault information and maintenance information about the combined drive generator includes: Collect all known fault mode codes and the corresponding fault location information for each type of fault mode, where each code can uniquely identify each fault type. The fault location information includes: equipment components and system modules; Collect the frequency of occurrence and severity level of each type of failure mode; Design data templates, including failure mode codes, failure location, frequency, and severity levels; Design a database structure for storing failure mode codes, fault locations, frequency, and severity levels, define appropriate data types and lengths for each data point, and populate the database with all collected data.

3. The method for constructing a maintenance priority evaluation model according to claim 1, characterized in that: The method of establishing a fault propagation model of the combined transmission generator based on the system function parameters of the combined transmission generator, the interaction information between the components and parts, and the database includes: Acquiring system function parameters of the combined drive generator and interaction information between components and parts; Performing a failure mode, consequence, and severity analysis on a single failure mode of the combined drive generator based on the system function parameters and a database to obtain an FMECA table; Performing a fault tree analysis on the associated failure modes of the combined transmission generator based on the interaction information between the components and parts and a database to obtain a fault tree; The FMECA table and the fault tree are integrated to obtain the fault propagation model.

4. The method for constructing a maintenance priority evaluation model according to claim 3, characterized in that: The failure mode, consequence and severity analysis of the single failure mode of the combined drive generator is performed based on the system function parameters and the database to obtain an FMECA table, including: The failure mode types, occurrence frequencies, and failure severity levels in the database are generated into an FMECA table, wherein the FMECA table includes at least: a description of the failure mode, a location or system where the failure occurs, a cause of the failure, consequences of the failure on various levels of the system, a severity level of the failure, and a frequency of the failure.

5. The method for constructing a maintenance priority evaluation model according to claim 3, characterized in that: The method of performing a fault tree analysis on the associated fault modes of the combined drive generator based on the interactive information between the components and parts and a database to obtain a fault tree includes: Data of various types of associated fault modes are extracted from the database to construct a fault tree.

6. The method for constructing a maintenance priority evaluation model according to claim 1, characterized in that: The survival SIGNATURE analysis of the components of the combined transmission generator based on the composition structure model of the combined transmission generator and the fault propagation model includes: Obtaining a structural model of the combined drive generator to divide the components of the combined drive generator into several different levels according to their functions and structures; Based on the fault propagation model, survival SIGNATURE analysis is performed on different components at the same level.

7. The method for constructing a maintenance priority evaluation model according to claim 6, characterized in that: The obtaining of the structural model of the combined drive generator to divide the components of the combined drive generator into several different levels according to their functions and structures includes: Establishing hierarchical structural relationships from system to subsystem, sub-subsystem, component, assembly and part based on the hierarchical structural relationship of the combined drive generator and the power supply system to which the combined drive generator belongs; Based on the hierarchical relationships of the various levels of structure, the components in each level are analyzed and described to obtain the connection relationships between the various components, assemblies and parts.

8. The method for constructing a maintenance priority evaluation model according to any one of claims 4 or 6, characterized in that: The survival SIGNATURE analysis of different components at the same level based on the fault propagation model includes: Counting the frequency of fault occurrence of each minimum cut set in the fault tree, wherein the minimum cut set refers to the most basic set of events that lead to system failure in fault tree analysis; Obtain the fatality of the failure mode based on the frequency of the failure mode and the severity level of the failure; Based on the fatality of the failure mode, all components, assemblies and parts in each level are standardized and scored, and the maintenance priority evaluation model is constructed: in, OFD Failure mode frequency, ED Indicates the fault severity level, FD Indicates the fatality of the failure mode; Design parts i Failure FD for , define the part i At the border t At that time in, MRI represents the edge reliability importance, and represents the conditional survival function; type k Two parts of i , j At the borderline t When is defined as in, JRI represents the joint reliability importance, represents the probability density function, represents the joint probability, and represents the conditional survival function; type a Parts i and type b Parts j , then the corresponding JRI for: JRI represents the joint reliability importance, represents the probability density function, represents the joint probability, and represents the conditional survival function.

9. A maintenance priority evaluation method, characterized in that: include: Constructing a maintenance priority evaluation model based on the method for constructing a maintenance priority evaluation model according to any one of claims 1 to 8; Evaluate the maintenance priority of components at each level based on the maintenance priority evaluation model; Based on the priority of the parts to be repaired, the parts at each level are classified into three levels from strong to weak, and divided into priority parts, second priority parts and general parts from top to bottom.

10. The maintenance priority evaluation method according to claim 9, characterized in that: When a new maintenance task appears or a current maintenance task is completed, the priorities of all maintenance tasks are re-evaluated based on the maintenance priority evaluation model, and the maintenance plan is adjusted accordingly.

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