Self-supervised Anomalous Sound Detection for Machine Condition Monitoring.
Ying ZengHongqing LiuYu ZhaoYi ZhouPublished in: ChinaCom (2022)
Keyphrases
- condition monitoring
- anomaly detection
- detection algorithm
- acoustic emission
- vibration signal
- fault diagnosis
- fault detection
- detection method
- false positives
- automatic detection
- detecting anomalous
- power transformers
- real time
- detection rate
- tool wear
- false alarms
- object detection
- decision making
- fuzzy sets
- computational intelligence
- nuclear power plant
- artificial intelligence