Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.
Jialin YanJiangming KanHaifeng LuoPublished in: Sensors (2022)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- bp neural network
- chemical process
- power transformers
- rotating machinery
- gas turbine
- fuzzy logic
- multiple faults
- electronic equipment
- tennessee eastman
- industrial systems
- condition monitoring
- operating conditions
- markov chain
- probabilistic neural networks
- failure diagnosis
- electrical power systems
- steam turbine
- genetic algorithm
- fault identification
- fault detection and isolation
- analog circuits
- vibration signal
- rbf neural network