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Non-intrusive anomaly detection for carving machine systems based on CAE-GMHMM under multiple working conditions

QIU Xiang CHEN Wei WU Qi HU Fo LU Kangdi

High Technology Letters2025，Vol.31Issue(1)：P.1-11,11.

High Technology Letters2025，Vol.31Issue(1)：P.1-11,11.DOI:10.3772/j.issn.1006-6748.2025.01.001

Non-intrusive anomaly detection for carving machine systems based on CAE-GMHMM under multiple working conditions

QIU Xiang ¹CHEN Wei ¹WU Qi ¹HU Fo ¹LU Kangdi²

作者信息

1. College of Information Engineering,Zhejiang University of Technology,Hangzhou 310014,P.R.China
2. College of Information Sciences and Technology,Donghua University,Shanghai 201620,P.R.China
折叠

摘要

关键词

non-intrusive detection/variant working condition/rotating machinery/motion control system/hidden Markov model(HMM)

分类

信息技术与安全科学

引用本文复制引用

QIU Xiang,CHEN Wei,WU Qi,HU Fo,LU Kangdi..Non-intrusive anomaly detection for carving machine systems based on CAE-GMHMM under multiple working conditions[J].High Technology Letters,2025,31(1):P.1-11,11.

基金项目

Supported by the National Natural Science Foundation of China(No.62203390). （No.62203390）

High Technology Letters

ISSN：1006-6748

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