Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning

25 Jul 2020 Shen Zhang Fei Ye Bingnan Wang Thomas G. Habetler

The rapid development of artificial intelligence and deep learning technology has provided many opportunities to further enhance the safety, stability, and accuracy of industrial Cyber-Physical Systems (CPS). As indispensable components to many mission-critical CPS assets and equipment, mechanical bearings need to be monitored to identify any trace of abnormal conditions... (read more)

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