Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification.
Jing YangGuo XieYanxi YangPublished in: IEEE Access (2023)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- denoising
- neural network
- monitoring and fault diagnosis
- expert systems
- power transformers
- bp neural network
- operating conditions
- fuzzy logic
- chemical process
- electronic equipment
- condition monitoring
- rbf neural network
- multiple faults
- multi sensor information fusion
- feature vectors
- feature extraction
- restricted boltzmann machine
- analog circuits
- fault detection and diagnosis
- gas turbine
- feature space
- machine learning
- industrial systems
- training set
- fault detection and isolation
- support vector machine svm
- intelligent systems
- artificial neural networks
- support vector
- electrical power systems