Fault Diagnosis of Rotating Machinery Using Kernel Neighborhood Preserving Embedding and a Modified Sparse Bayesian Classification Model.
Lixin LuWeihao WangDongdong KongJunjiang ZhuDongxing ChenPublished in: Entropy (2023)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- neighborhood preserving embedding
- expert systems
- neural network
- fault detection and diagnosis
- fuzzy logic
- power transformers
- kernel function
- condition monitoring
- chemical process
- monitoring and fault diagnosis
- multiple faults
- operating conditions
- support vector
- dimensionality reduction
- feature space
- gas turbine
- electronic equipment
- tennessee eastman
- multi sensor information fusion
- discriminating power
- analog circuits
- gaussian processes
- training data
- learning algorithm