Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network.
Zhiqiang LuLongyang LiangJun ZhuWenhao ZouLei MaoPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- fault diagnosis
- rotating machinery
- fault detection
- convolutional neural network
- neural network
- operating conditions
- expert systems
- power transformers
- fuzzy logic
- condition monitoring
- monitoring and fault diagnosis
- electronic equipment
- fault detection and diagnosis
- gas turbine
- incipient fault
- industrial systems
- fault identification
- chemical process
- machine learning
- multiple faults
- bp neural network
- fault detection and isolation
- mathematical model
- electrical power systems
- multi sensor information fusion
- data fusion
- fault tree
- complex systems
- artificial neural networks