Method for performing fault diagnosis by using model conversion

Abstract

The invention discloses a method for performing fault diagnosis by using model conversion. According to the method, processed related information of a fault mode effect analysis model is converted into a corresponding Bayesian network model by using a self-defined data structure while ensuring complete data, an elementary event, a logic gate and an intermediate event of a fault tree in a fault tree analysis model are converted into nodes in a Bayesian network respectively, and a corresponding conditional probability table in the Bayesian network is set. The fault diagnosis is performed through the converted Bayesian network model. The method of the invention expands the use of the Bayesian network model in the fault diagnosis, improves the diagnosis accuracy of a fault diagnosis model in practical application, ensures the universality of model conversion, and can realize cross-tool conversion among different fault mode effect analysis, fault tree analysis result and the generated Bayesian network.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis and analysis, and relates to a conversion method between fault diagnosis models, in particular to a fault diagnosis method using the conversion between fault diagnosis models. Background technique [0002] Uncertainty is one of the key technologies to be solved in equipment fault diagnosis, especially for large and complex equipment, there are many intricate and coupled relationships between components and within components, and uncertain factors and uncertain information are full of them. , its faults may be complex forms such as multiple faults and associated faults. Bayesian network can integrate qualitative information and quantitative information, can make full use of pre-test information and test information, and can realize a complete probabilistic description of system failures in the case of incomplete data sets. In addition, the Bayesian network has the ability to describe the n...

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Problems solved by technology

[0004] In order to overcome the difficulty of building Bayesian networks in the field of fault diagnosis and expand the use of Bayesian networks in the field of fault diagnosis, the present invention proposes a method for fault diagnosis using model conversion, which can While ensuring the completeness of the data, the failure mode effect analysis model (FMEA model) and the fault tree analysis model (FTA model) are converted into Bayesian network models by using the self-defined data structure, and the transformed Bayesian network is used model for fault diagnosis

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