Detection of Transformer Fault Characteristic Gas Based on Cantilever-enhanced Photoacoustic Spectroscopy.
Ying ZhangZhiyi LuoTongqin RanHongcheng SunFu WanPublished in: iSPEC (2023)
Keyphrases
- fault diagnosis
- detection accuracy
- automatic detection
- detection algorithm
- false alarms
- fuzzy logic
- x ray
- anomaly detection
- false positives
- detection rate
- detection scheme
- infrared
- fault detection
- genetic algorithm
- change detection
- machine learning
- error detection
- operating conditions
- power system
- power transformers
- database
- information systems
- artificial intelligence
- learning algorithm
- real time