The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data

Han Cheng,Xianguang Kong,Qibin Wang,Hongbo Ma,Shengkang Yang

Reliability Engineering & System Safety（2022）

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摘要

•The two-stage RUL prediction framework is investigated in this paper.•The two-level alarm mechanism is proposed to detect FPT of each entity adaptively.•DSCN-DTAM is built for cross-domain prognostic with incomplete target domain data.•Double transferable attention mechanism is designed for the fined-grained transfer.•Four transfer prognostic tasks verify the effectiveness of the proposed method.

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关键词

Remaining useful life prediction,The first predicting time identification,Deep transfer learning,Multiple working conditions

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