Unsupervised feature learning with reconstruction sparse filtering for intelligent fault diagnosis of rotating machinery.
Zhiqiang ZhangQingyu YangPublished in: Appl. Soft Comput. (2022)
Keyphrases
- rotating machinery
- fault diagnosis
- unsupervised feature learning
- fault detection
- deep learning
- industrial systems
- expert systems
- higher order
- neural network
- bp neural network
- fault detection and diagnosis
- condition monitoring
- monitoring and fault diagnosis
- sparse representation
- fuzzy logic
- intelligent systems
- analog circuits
- power transformers
- operating conditions
- high dimensional
- fault identification
- electronic equipment
- chemical process
- multiple faults
- gas turbine
- multi sensor information fusion
- unsupervised learning
- high resolution
- feature space
- artificial intelligence