MS-DRT: A Multilevel and Multiscale Branch Learning Scheme for Fault Diagnosis of Rotating Machinery.
Xiaogang XuRuijun WangZhixia FanXu MaZeren ZhaoHuijie WangPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- learning scheme
- rotating machinery
- fault diagnosis
- multiscale
- fault detection
- learning algorithm
- expert systems
- neural network
- bp neural network
- fault detection and diagnosis
- fuzzy logic
- condition monitoring
- rbf neural network
- edge detection
- multiple faults
- image processing
- failure diagnosis
- monitoring and fault diagnosis
- operating conditions
- power transformers
- gas turbine
- chemical process
- wavelet transform
- fault detection and isolation
- multi sensor information fusion
- analog circuits
- electronic equipment
- rule learning
- image segmentation
- back propagation
- intelligent systems
- fault identification
- electrical power systems
- data mining
- real time
- tennessee eastman
- decision support system
- artificial neural networks