Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis

Kernel adaptive filtering (KAF) has gained widespread popularity among the machine learning community for online applications due to its convexity, simplicity, and universal approximation ability. However, the network generated by KAF keeps growing with the accumulation of the training samples, whic...

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Vydáno v:	IEEE access Ročník 6; s. 74687 - 74698
Hlavní autoři:	Zhou, Haowen, Huang, Jinquan, Lu, Feng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive algorithms Adaptive filters Aerospace engines Algorithms Complex systems Convexity Cost function Data models Diagnosis Dictionaries Health diagnosis Kernel kernel adaptive filtering Kernels Least squares Machine learning Performance degradation pruning method Real-time systems Training Training data Turbofan engines
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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