
Anomaly Detection of Servomotors Subject to Highly Accelerated Limit Testing
Author(s) -
Tadahiro Shibutani
Publication year - 2022
Publication title -
international journal of prognostics and health management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.336
H-Index - 21
ISSN - 2153-2648
DOI - 10.36001/ijphm.2022.v13i2.3138
Subject(s) - servomotor , anomaly detection , impeller , computer science , artificial intelligence , gaussian process , gaussian , engineering , control theory (sociology) , machine learning , mechanical engineering , control (management) , physics , quantum mechanics