Fault Diagnosis Based on Multiscale Multivariate Dispersive Entropy and Bayesian-optimized LSTM Networks for Motor Bearing.
Ling LiYucheng MaJiaxin LiKaixuan LanMenglong WangZhuofu PanPublished in: SAFEPROCESS (2023)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- multiscale
- expert systems
- fault detection
- neural network
- fuzzy logic
- rbf neural network
- rotating machinery
- failure diagnosis
- chemical process
- bp neural network
- multi sensor information fusion
- electronic equipment
- power transformers
- industrial systems
- fault detection and diagnosis
- control system
- operating conditions
- gas turbine
- analog circuits
- condition monitoring
- real time
- recurrent neural networks
- machine learning
- electrical power systems
- image processing
- image segmentation
- filter bank
- computational intelligence
- network parameters
- edge detection
- knowledge base
- power plant
- tennessee eastman
- network structure