Method for predicting faults of power electronic circuit based on FRM-RVM (fuzzy rough membership-relevant vector machine)
A power electronic circuit and fault prediction technology, applied in the direction of electronic circuit testing, etc., can solve the problems of performance degradation interactive coupling, simultaneous monitoring of devices, and few researches on circuit fault prediction
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[0045] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0046]The present invention provides a power electronic circuit fault prediction method based on FRM-RVM (Fuzzy Rough Membership-Relevant Vector Machine). The fault evaluation index, that is, the health degree in the present invention, determines the health degree threshold of the circuit according to the requirements of the circuit performance index, uses the RVM algorithm to predict the health degree of the circuit, and evaluates the future health status of the circuit in combination with the health degree threshold.
[0047] Fuzzy rough set combines fuzzy set and rough set, and is used to deal with data sets that have both rough type and output fuzziness. For clustering and classification problems, the Fuzzy-Rough Nearest Neighbors algorithm FRNN (Fuzzy-Rough Nearest Neighbors, FRNN) based on this theory regards each training sample as t...
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