Multiple sectioned Bayesian network-based electronic circuit fault diagnosis method
A Bayesian network and fault diagnosis technology, applied in electronic circuit testing and other directions, can solve problems such as poor real-time performance, low resolution, difficult model interpretation, etc., and achieve the effect of improving fault diagnosis ability, accuracy and speed.
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[0039] The present invention will be described in detail below in combination with specific embodiments.
[0040] The invention regards multiple smart bodies or sensor networks monitoring electronic circuits as multiple BN sub-networks in MSBN to solve the fault diagnosis problem of uncertain systems. The BN subnet with overlapping sub-domains is constructed as a complete MSBN. MSBN can be regarded as one of the extended forms of traditional Bayesian network. Using distributed local reliability reasoning and reliability communication algorithm can complete the whole MSBN. The reliability is updated, so as to complete the node probability query support in the corresponding MSBN of the fault to be identified, and realize the fault diagnosis.
[0041] It is assumed that there are two types of failure causes of the circuit to be diagnosed: "N" (normal) and "F" (abnormal); system failure symptoms (such as flow signals), without loss of generality, can be divided into two types: hig...
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