A Physics-Based Deep Learning Approach for Fault Diagnosis of Rotating Machinery.
Mohammadkazem SadoughiChao HuPublished in: IECON (2018)
Keyphrases
- rotating machinery
- deep learning
- fault diagnosis
- fault detection
- expert systems
- unsupervised learning
- neural network
- machine learning
- unsupervised feature learning
- fuzzy logic
- fault detection and diagnosis
- bp neural network
- condition monitoring
- rbf neural network
- mental models
- gas turbine
- operating conditions
- weakly supervised
- multi sensor information fusion
- chemical process
- power transformers
- monitoring and fault diagnosis
- power plant
- multiple faults
- electronic equipment
- learning algorithm
- analog circuits
- decision making
- higher order
- support vector
- data fusion