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Research on mechanical wear life feature fusion prediction method based on temporal pattern attention mechanism

JIANG Zhinong CHEN Yuyang ZHANG Jinjie LI Zhaoyang MAO Zhiwei ZHI Haifeng LIU Fengchun

高技术通讯（英文版）2023，Vol.29Issue(1)：12-21,10.

高技术通讯（英文版）2023，Vol.29Issue(1)：12-21,10.DOI:10.3772/j.issn.1006-6748.2023.01.002

Research on mechanical wear life feature fusion prediction method based on temporal pattern attention mechanism

JIANG Zhinong ¹CHEN Yuyang ²ZHANG Jinjie ¹LI Zhaoyang ²MAO Zhiwei ¹ZHI Haifeng ²LIU Fengchun¹

作者信息

1. Beijing Key Laboratory of Health Monitoring and Self-Healing of High-end Mechanical Equipment,Beijing University of Chemical Technology,Beijing 100029,P.R.China
2. Key Laboratory of Engine Health Monitoring-control and Networking,Ministry of Education,Beijing University of Chemical Technology,Beijing 100029,P.R.China
折叠

摘要

关键词

prediction of gear remaining useful life/information fusion/numerical simulation/neural network/oil monitoring

Key words

prediction of gear remaining useful life/information fusion/numerical simulation/neural network/oil monitoring

引用本文复制引用

JIANG Zhinong,CHEN Yuyang,ZHANG Jinjie,LI Zhaoyang,MAO Zhiwei,ZHI Haifeng,LIU Fengchun..Research on mechanical wear life feature fusion prediction method based on temporal pattern attention mechanism[J].高技术通讯（英文版）,2023,29(1):12-21,10.

基金项目

Supported by the National Natural Science Foundation of China(No.52101343),the Aeronautical Science Foundation(ASFC)(No.201834S9002)and Chongqing Technology Innovation and Application Development Special General Project(No.cstc2020jscx-msxm0411). （No.52101343）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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