MS-TCN: A Multiscale Temporal Convolutional Network for Fault Diagnosis in Industrial Processes.
Jiyang ZhangYuxuan WangJianxiong TangJianxiao ZouShicai FanPublished in: ACC (2021)
Keyphrases
- industrial processes
- fault diagnosis
- fault detection
- multiscale
- fault detection and isolation
- convolutional network
- coarse to fine
- fault detection and diagnosis
- expert systems
- convolutional neural networks
- neural network
- fuzzy logic
- chemical process
- operating conditions
- multiple faults
- rbf neural network
- scale space
- monitoring and fault diagnosis
- bp neural network
- image segmentation
- power transformers
- electronic equipment
- wavelet transform
- image processing
- gas turbine
- multi sensor information fusion
- power plant
- analog circuits
- quality improvement
- edge detection
- artificial intelligence
- machine learning
- data mining