A new intelligent fault identification method based on transfer locality preserving projection for actual diagnosis scenario of rotating machinery

Huailiang Zheng,Rixin Wang,Jiancheng Yin,Yuqing Li, Haiqing Lu,Minqiang Xu

Mechanical Systems and Signal Processing（2020）

引用 46|浏览0

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摘要

•A new intelligent transfer diagnosis method of rotating machinery, TLPPIFI, is proposed.•TLPPIFI can build the diagnosis model using historical data from other same-type machines.•TLPPIFI performs superior transfer capacity with inadequate information of target domains.•Three case studies show the validity and superiority of TLPPIFI.

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关键词

Transfer learning,Intelligent fault diagnosis,Locality preserving projection,Rotating machinery

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