An evolutionary deep learning approach using flexible variable-length dynamic stochastic search for anomaly detection of robot joints

An evolutionary deep learning approach using flexible variable-length dynamic stochastic search for anomaly detection of robot joints

Anomaly detection is crucial for condition monitoring of robot joints. An increasing number of anomaly detection methods based on deep learning have been investigated. However, since the deep learning architectures for anomaly detection are manually designed by trial and error, the design process is...

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書目詳細資料
Main Authors:	Liu, Qi, Yu, Yongchao, Han, Boon Siew, Zhou, Wei
其他作者:	School of Mechanical and Aerospace Engineering
格式:	Article
語言:	English
出版:	2025
主題:	Engineering Anomaly detection Deep learning
在線閱讀:	https://hdl.handle.net/10356/182485
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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