Fault Diagnosis of Communication Equipment Gear based on Deep Learning.
Yongjun PengRui GuoZheng DaiXuehui YangAnping WanZhengbing HuPublished in: IDAACS (2021)
Keyphrases
- fault diagnosis
- deep learning
- unsupervised learning
- expert systems
- neural network
- fuzzy logic
- bp neural network
- unsupervised feature learning
- fault detection
- fault detection and diagnosis
- rbf neural network
- operating conditions
- power transformers
- machine learning
- electronic equipment
- multiple faults
- mental models
- chemical process
- analog circuits
- gas turbine
- power plant
- artificial intelligence
- rotating machinery
- monitoring and fault diagnosis
- multi sensor information fusion
- condition monitoring
- weakly supervised
- natural images
- pattern recognition
- image processing
- learning algorithm