Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm

•A parameter optimization method for DBN based on sparrow search algorithm (SSA) is proposed.•SSA can reduce the randomness and instability caused by selecting DBN parameters by subjective experience.•A gear fault severity detection scheme is proposed with the parameter-optimized DBN.•The parameter-...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation 2021-11, Vol.185, p.110079, Article 110079
Hauptverfasser:	Gai, Jingbo, Zhong, Kunyu, Du, Xuejiao, Yan, Ke, Shen, Junxian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bearings Belief networks Deep belief network Fault diagnosis Fault severity detection Fault tolerance Feature extraction Gear Gear teeth Optimization Parameter optimization Parameters Pattern recognition Search algorithms Signal monitoring Signal processing Sparrow search algorithm Stability
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