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Power Plant System Fault Diagnosis by Learning Historical System Failure Signatures
专利权人:
NEC Laboratories America, Inc.
发明人:
Cheng Wei,Chen Haifeng,Yoshihira Kenji
申请号:
US201815880979
公开号:
US2018299877(A1)
申请日:
2018.01.26
申请国别(地区):
美国
年份:
2018
代理人:
摘要:
A method, computer program product, and a system is provided for power plant system fault diagnosis. The method includes detecting, using an invariant model, a fault event based on a broken pair-wise correlation. The method also includes constructing a fault signature based on the fault event. The method further includes generating a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event. The method additionally includes determining a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace. The method also includes initiating the corrective action on a hardware device to mitigate expected harm.
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