System fault emergence modeling method based on functional link

Abstract

According to the system fault emergence modeling method based on the function link, the function link carrying the time sequence requirement is constructed, the fault emergence criterion and large sample simulation are combined, accurate modeling and sample output of the system fault emergence process are achieved, and effective support is provided for reliability evaluation of a complex system. The method comprises the following steps: constructing a system function link carrying a time sequence requirement by dividing system function units, determining a logical relationship between the units and configuring time sequence parameters; setting overall function link time sequence parameters, and completing system fault emergence criterion configuration; large sample simulation is carried out based on the configured unit and link time sequence parameters, and after invalid samples caused by faults of a single function unit are removed, system fault emerging samples are screened and output.

Description

Technical Field

[0001] This invention provides a system fault emergence modeling method based on functional links, belonging to the field of reliability engineering technology. Background Technology

[0002] Modern complex systems (such as those in aerospace, intelligent manufacturing, and energy) are composed of numerous functional units interconnected by complex logic, and their operation relies on the coordinated and orderly work of these units. As the scale of the system increases and the degree of functional integration improves, failures are no longer limited to the independent failure of a single functional unit, but exhibit a complex characteristic of local accumulation, propagation through links, and finally leading to global emergence.

[0003] Existing fault modeling methods mostly focus on failure mode analysis of individual functional units or construct fault propagation paths based on static logical relationships, which has significant limitations. On the one hand, these methods ignore the timing constraints of system function execution and cannot reflect the link-based collaborative failures caused by timing deviations. On the other hand, they fail to effectively capture the cumulative effects and emergence patterns of faults in functional links, resulting in insufficient accuracy in predicting global system faults and making it difficult to support the reliability design and fault prevention of complex systems. Therefore, there is an urgent need for a modeling method that can integrate functional logic and timing characteristics to accurately characterize the fault emergence process, providing technical support for the reliability assessment of complex systems. Summary of the Invention

[0004] This invention aims to provide a system fault emergence modeling method based on functional links. By constructing functional links with timing requirements and combining fault emergence criteria with large-sample simulation, it achieves accurate modeling and sample output of the system fault emergence process, providing effective support for reliability assessment of complex systems.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A system fault emergence modeling method based on functional links mainly includes the following steps:

[0007] S100: Constructing system functional links with timing requirements:

[0008] S101: System functional unit division and logical relationship construction;

[0009] S102: Functional unit timing parameter configuration;

[0010] S200: Set the overall functional link timing parameters and complete the configuration of system fault emergence criteria;

[0011] S300: Based on the configured unit and link timing parameters, perform large-sample simulations and output system fault emergence samples:

[0012] S301: Remove invalid samples due to a single functional unit failure;

[0013] S302: Output system fault emergence samples;

[0014] In step S100, a system functional link carrying timing requirements is constructed by dividing functional units, clarifying logical relationships, and configuring timing parameters:

[0015] In step S101, based on the main functions of the system, the system is decomposed into several basic functional units. A directed graph is used to represent the logical relationships between the units, focusing on two types of logic: serial (the output of the preceding unit is used as the input of the following unit) and parallel (multiple units execute synchronously).

[0016] In step S102, the timing parameters of the functional units are configured. First, design values ​​for the timing parameters are set for each functional unit, including the earliest start time. Working hours ΔT Design With the latest end time Secondly, a start time fluctuation range is set for the first functional unit of the link. Set the lag time fluctuation range for the remaining units. Its meaning is the startup interval of the current unit after the previous unit starts; finally, a duration fluctuation range is set for all units. Used to simulate timing uncertainties in actual operation.

[0017] In step S200, the overall functional link timing parameters are set to complete the system fault emergence criterion configuration. The design values ​​for the overall functional link timing parameters are set sequentially, including the earliest start time. Functional link operating time ΔTL Design Latest end time of functional link Used to trigger the determination of system fault emergence.

[0018] In step S300, based on the configured functional unit timing parameters and system fault emergence criteria, a large-sample simulation is performed and fault emergence samples are selected and output:

[0019] In step S301, for each simulation sample, if the actual start time of a certain functional unit is... Or actual end time If the design value is not met, the unit is determined to be a faulty unit. The resulting failure of the overall functional link is not a system fault emergence phenomenon, and such irrelevant fault samples need to be removed.

[0020] In step 302, after removing irrelevant samples, the actual start time of the functional link of each simulation sample is obtained. Actual duration ΔTL ActualCompared with the actual end time If the above parameters exceed the configured threshold, it is determined to be a timing anomaly, that is, a system fault emerges. At this time, the large sample simulation is stopped and the fault emerges sample is output.

[0021] Compared with existing technologies, the beneficial effects of this invention are as follows: By constructing a system functional link carrying timing requirements, this invention deeply integrates the logical connections and temporal dynamic characteristics between functional units, fully depicting the complex characteristics of local accumulation in the system propagated through the link, leading to the emergence of global faults. This solves the technical deficiency of existing technologies that focus on isolated unit fault analysis. Simultaneously, by configuring dedicated fault emergence criteria and combining them with large-sample simulation, it accurately captures the trigger threshold and evolution law of fault emergence, providing effective support for the reliability assessment of complex systems. Attached Figure Description

[0022] Figure 1 A flowchart of a system fault emergence modeling method based on functional links provided by the present invention;

[0023] Figure 2 This is the functional link of the landing gear retraction system provided by the present invention. Detailed Implementation

[0024] The following will refer to the appendix. Figure 1 With appendix Figure 2 Specific embodiments of the invention are described in detail below. While specific embodiments of the invention have been discussed, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, the embodiments are provided to enable a more thorough understanding of the invention and to fully convey the information of the invention to those skilled in the art.

[0025] This invention provides a method for fault emergence modeling of landing gear retraction and extension systems based on functional links, the flowchart of which is as follows. Figure 1 As shown, it includes:

[0026] S100: By dividing functional units, clarifying logical relationships, and configuring timing parameters, a functional link for the landing gear retraction and extension system carrying timing requirements is constructed.

[0027] S101: As Figure 2 As shown, based on the main functions of the landing gear retraction system, the landing gear retraction system is broken down into several basic functional units, including the takeoff and landing control unit, the landing gear retraction subsystem, the main landing gear retraction actuator, the main landing gear strut, the nose landing gear retraction actuator, and the nose landing gear strut.

[0028] Based on this, a directed graph is used to represent the logical relationships between units: the serial logic is "takeoff and landing control unit → landing gear retraction and extension subsystem → main landing gear retraction and extension actuator → main landing gear strut" and "landing gear retraction and extension subsystem → nose landing gear retraction and extension actuator → nose landing gear strut", with the output of the preceding unit serving as the input of the following unit. The main landing gear retraction and extension branch (main landing gear retraction and extension actuator, main landing gear strut) and the nose landing gear retraction and extension branch (nose landing gear retraction and extension actuator, nose landing gear strut) are executed in parallel.

[0029] S102: Complete the timing parameter configuration for each functional unit. First, set the design values ​​for the timing parameters for each functional unit, including: the earliest start time of the takeoff and landing control unit. Working hours ΔT Design =0.095s, latest end time Landing gear transceiver subsystem ΔT Design =57s, Main landing gear retraction actuator ΔT Design =14s, Main landing gear strut ΔT Design =57s, Nose landing gear retraction actuator ΔT Design =14s, Front landing gear strut ΔT Design =57s,

[0030] Furthermore, a start time fluctuation range is set for the takeoff and landing control unit, the first functional unit of the link. Set lag time fluctuation ranges for the remaining units, including the landing gear transceiver subsystem. Main landing gear retraction actuator Main landing gear strut Nose landing gear retraction actuator Front landing gear strut Finally, duration fluctuation ranges were set for all units, including the takeoff and landing control unit. Landing gear transceiver subsystem Main landing gear retraction actuator Main landing gear strut Nose landing gear retraction actuator Front landing gear strut Simulate timing uncertainties in actual operation.

[0031] S200: Sets the overall functional link timing parameters to complete the configuration of the fault emergence criteria for the landing gear retraction system. Sets the earliest start time for the functional link. Functional link operating time ΔTL Design =59s; Latest end time of functional link Used for fault detection in landing gear retraction and extension systems.

[0032] S300: Based on the configured functional unit timing parameters and system fault emergence criteria, large-sample simulations are performed and fault emergence samples are selected and output.

[0033] S301: For each simulation sample, check the actual start time of the functional unit. and actual end time Does it meet the design values? Taking the takeoff and landing control unit as an example, its earliest start time is 0s and its latest end time is 0.1s. If the actual end time in a simulation sample is 0.15s, then the unit is determined to be a faulty unit. This sample is due to the failure of a single unit causing the functional link to fail, and does not belong to the system fault emergence, so it is discarded. Similarly, the same verification is performed on the other functional units, and invalid samples caused by the timing of a single unit not meeting the design values ​​are discarded.

[0034] S302: After removing invalid samples, obtain the actual parameters of the functional links of the valid simulation samples, including the actual start time of the functional links. Actual duration ΔTL Actual Actual end time If ΔTL Actual =58.92s<ΔTL Design If the time is 59s, it is determined that a system fault has emerged. The large-sample simulation is stopped and the fault emergence sample is output for subsequent reliability assessment of complex systems.

[0035] In summary, this implementation method, taking the landing gear retraction system as an example, fully presents the execution flow of the system fault emergence modeling method based on functional links. Through functional unit division, timing parameter configuration, fault criterion setting and large sample simulation, it achieves accurate modeling and sample output of the system fault emergence process.

[0036] Although embodiments of the present invention have been described above in conjunction with the accompanying drawings, the present invention is not limited to the specific embodiments and application fields described above. The specific embodiments described above are merely illustrative and instructive, and not restrictive. Those skilled in the art can make many other forms based on the guidance of this specification and without departing from the scope of protection of the claims of the present invention, and all of these are within the scope of protection of the present invention.

Claims

1. A method for modeling the emergence of faults in a landing gear system based on functional links, the process of which includes: S100: By dividing functional units, clarifying logical relationships, and configuring timing parameters, a system functional link carrying timing requirements is constructed. S101: System functional unit division and logical relationship construction; S102: First, set the timing parameter design values ​​for each functional unit, including the earliest start time. Working hours ΔT Design With the latest end time Secondly, a start time fluctuation range is set for the first functional unit of the link. Set the lag time fluctuation range for the remaining units. Its meaning is the startup interval of the current unit after the previous unit starts; finally, a duration fluctuation range is set for all units. Used to simulate timing uncertainties in actual operation; S200: Set the overall functional link timing parameters and complete the system fault emergence criterion configuration; sequentially set the design values ​​of the overall functional link timing parameters, including the earliest start time. Functional link operating time ΔTL Design Latest end time of functional link Used to trigger the determination of system fault emergence; S300: Based on the configured functional unit timing parameters and system fault emergence criteria, large-sample simulations are performed and fault emergence samples are selected and output. S301: For each simulation sample, if the actual start time of a certain functional unit is... Or actual end time If the design value is not met, the unit is determined to be a faulty unit. The failure of the overall functional link caused by it is not a system fault emergence phenomenon, and such irrelevant fault samples need to be removed. S302: After removing irrelevant samples, obtain the actual start time of the functional links of each simulation sample. Actual duration ΔTL Actual Compared with the actual end time If the above parameters exceed the configured threshold, it is determined to be a timing anomaly, that is, a system fault emerges. At this time, the large sample simulation is stopped and the fault emerges sample is output.

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