Intelligent fault diagnosis of rotating machinery under varying working conditions with global-local neighborhood and sparse graphs embedding deep regularized autoencoder.
Zejin SunYouren WangJiahao GaoPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- operating conditions
- industrial systems
- neural network
- expert systems
- monitoring and fault diagnosis
- fuzzy logic
- bp neural network
- condition monitoring
- power transformers
- fault identification
- multiple faults
- gas turbine
- restricted boltzmann machine
- failure diagnosis
- fault detection and diagnosis
- electronic equipment
- intelligent systems
- rbf neural network
- chemical process
- analog circuits
- knowledge based expert systems
- deep learning
- fault tree
- steam turbine
- support vector
- power plant
- fault detection and isolation
- soft computing methods