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Remaining useful life prediction for bearings based on Transformer-BiLSTM network optimized by the Newton-Raphson-based optimizer

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高技术通讯(英文版)2026,Vol.32Issue(2):109-120,12.
高技术通讯(英文版)2026,Vol.32Issue(2):109-120,12.DOI:10.3772/j.issn.1006-6748.2026.02.001

Remaining useful life prediction for bearings based on Transformer-BiLSTM network optimized by the Newton-Raphson-based optimizer

Remaining useful life prediction for bearings based on Transformer-BiLSTM network optimized by the Newton-Raphson-based optimizer

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作者信息

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摘要

关键词

Transformer/bidirectional long short-term memory/Newton-Raphson-based opti-mizer/remaining useful life prediction/bearing

Key words

Transformer/bidirectional long short-term memory/Newton-Raphson-based opti-mizer/remaining useful life prediction/bearing

引用本文复制引用

文娟..Remaining useful life prediction for bearings based on Transformer-BiLSTM network optimized by the Newton-Raphson-based optimizer[J].高技术通讯(英文版),2026,32(2):109-120,12.

基金项目

Supported by the Natural Science Foundation of Zhejiang Province(No.LQ24E050021),and the Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province(No.2022YW001). (No.LQ24E050021)

高技术通讯(英文版)

1006-6748

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