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A fault identification and traceability method for complex electromechanical equipment

A technology for electromechanical equipment and fault identification, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve problems such as insufficient intelligence level

Active Publication Date: 2021-12-07
NAVAL UNIV OF ENG PLA
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Problems solved by technology

[0003] The purpose of the present invention is to solve the shortcomings of the above-mentioned background technology, provide a fault identification and traceability method for complex electromechanical equipment, and make up for the problems of the original data processing level and intelligent level.

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  • A fault identification and traceability method for complex electromechanical equipment
  • A fault identification and traceability method for complex electromechanical equipment

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Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments to facilitate a clear understanding of the present invention, but they do not limit the present invention.

[0024] Such as figure 1 As shown, the present invention provides a fault identification and traceability method for complex electromechanical equipment. The method constructs a hierarchical fault diagnosis and traceability framework for status abnormalities and failures at the system level or equipment level. Firstly, establish a system-level fault model, establish the selection and arrangement of sensors through modeling, and provide data support for fault diagnosis and health management. At present, the selection and arrangement of sensors need to be designed according to specific system instances. Then, in the whole life cycle of the device operation, build a system status identification and hierarchical fault diagnosis and tr...

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Abstract

The present invention provides a method for fault identification and source tracing of complex electromechanical equipment, which includes the following steps: S1, obtaining state monitoring information of electromechanical equipment through multi-dimensional sensors; S2, bringing state monitoring information of electromechanical equipment into a graph convolutional neural network to obtain Diagnostic evidence information; S3, integrate various diagnostic evidence information, and perform fault identification based on the principle of evidentiary reasoning; S4, according to the fault identification result, trace the source of the fault through the fault propagation model, and obtain the root cause location of the fault. The invention makes up for the problems of lack of original data processing level and intelligence level.

Description

technical field [0001] The invention belongs to the technical field of complex system faults, and in particular relates to a fault identification and source tracing method for complex electromechanical equipment. Background technique [0002] Electromechanical systems are usually composed of limited equipment components that perform specific functions in a certain way and elements, which determines the complexity of fault propagation and diagnosis in complex systems, mainly manifested in the intricate relationship between fault causes and fault symptoms. Moreover, due to factors such as complex working conditions, severe state changes, high-temperature, high-humidity, mold, salt spray, marine environment, multi-physics field coupling, limited application of device components, multiple failure modes, and combination of multiple equipment, the fault is especially complex or hidden. Faults are difficult to diagnose, locate and trace. The traditional steady-state analysis metho...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 郭威崔小鹏胡安琪张明远邱少华王志伟孙文汪洋李逸飞陈璐珈
Owner NAVAL UNIV OF ENG PLA
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