Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine.
Yinsheng ChenTinghao ZhangWenjie ZhaoZhongming LuoHaijun LinPublished in: Sensors (2019)
Keyphrases
- rotating machinery
- multi class
- fault diagnosis
- relevance vector machine
- multiscale
- support vector machine
- fault detection
- neural network
- gaussian processes
- expert systems
- bp neural network
- fuzzy logic
- cost sensitive
- rbf neural network
- image processing
- machine learning
- feature selection
- pairwise
- multi task
- support vector
- image segmentation
- data sets
- active learning
- base classifiers
- gaussian process
- power plant
- decision making