Analog circuit dynamic online failure diagnosing method based on GSD-SVDD

Abstract

The invention discloses an analog circuit dynamic online failure diagnosing method based on GSD-SVDD, belonging to the technical field of analog circuit failure diagnosis. In an offline test process, a KFCM algorithm is adopted to calculate a failure resolution value of each testable node and an optimal test node set is selected according to the failure resolution value. In an online diagnosis process, a failure diagnosis model is established by adopting an SVDD single classification approach based on a map spatial distance positive and negative sample weighting, test samples are diagnosed bya layered diagnosis method, and a failure class library and the diagnosis model are renewed dynamically. The method effectively reduces the drill and online diagnosis time of the diagnosis model, guarantees the real-time property of the online diagnosis and improves the precision of the failure diagnosis and can dynamically renew parameters of the diagnosis model so as to enable the a diagnosis system to have the self-adaption capability.

Description

technical field [0001] The invention relates to an analog circuit fault diagnosis method, in particular to an analog circuit online fault diagnosis method based on GSD_SVDD. Background technique [0002] The development trend of self-test, self-diagnosis, and self-repair of modern electronic equipment puts forward new requirements for fault diagnosis of analog circuits. Once a certain part of the circuit fails, it is required to realize online real-time test and diagnosis of the circuit without affecting the normal operation of the circuit. Complete fault isolation, location and repair, and put the system back into use. Although people have made a lot of achievements in offline circuit fault diagnosis technology in the past two decades, the research on online real-time fault diagnosis of electronic equipment is still immature. [0003] Compared with offline analog circuit fault diagnosis, online fault diagnosis faces more difficulties. It not only needs to overcome the prob...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an analog circuit online fault diagnosis that can solve the problems of the existing analog circuit online diagnosis technology, such as the long training time of the diagnostic model and the contradiction of real-time requirements, weak self-adaptive ability and high misdiagnosis rate method

[0006] The idea of ​​the present invention is to adopt an improved SVDD classification method, that is, the SVDD single-class classification method based on the weighted positive and negative samples of the map space distance (abbreviated as GSD-SVDD, the same below), which is used for fault diagnosis of analog circuits to solve The existing method diagnoses the problem that the model training time is too long and the real-time requirements are contradictory

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