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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/182485 |