A Hybrid Multiscale Permutation Entropy-Based Fault Diagnosis and Inconsistency Evaluation Approach for Lithium Battery of E-Vehicles.
Muyangzi LinHaonan XieMiyuan ShanPublished in: IEEE Access (2022)
Keyphrases
- fault diagnosis
- multiscale
- fault detection
- expert systems
- fuzzy logic
- bp neural network
- neural network
- gas turbine
- fault detection and diagnosis
- multi sensor information fusion
- rotating machinery
- analog circuits
- operating conditions
- chemical process
- electric vehicles
- fault identification
- rbf neural network
- monitoring and fault diagnosis
- condition monitoring
- power transformers
- failure diagnosis
- electronic equipment
- industrial systems
- multiple faults
- real time
- knowledge base
- fault detection and isolation
- evaluation model
- image processing
- image segmentation
- control system
- tennessee eastman
- evaluation method