Fault Diagnosis of Rotating Machinery: A Highly Efficient and Lightweight Framework Based on a Temporal Convolutional Network and Broad Learning System.
Hao WeiQinghua ZhangYu GuPublished in: Sensors (2023)
Keyphrases
- lightweight
- fault diagnosis
- rotating machinery
- highly efficient
- fault detection
- learning algorithm
- expert systems
- neural network
- power transformers
- operating conditions
- support vector machine
- electronic equipment
- low cost
- fault detection and diagnosis
- multiscale
- real time
- chemical process
- machine learning
- image segmentation
- image analysis
- power system
- computational complexity
- intelligent systems
- computational intelligence
- fuzzy logic
- wireless sensor networks