Fault Diagnosis of Rolling Bearing Using Multiscale Amplitude-Aware Permutation Entropy and Random Forest.
Yinsheng ChenTinghao ZhangWenjie ZhaoZhongming LuoKun SunPublished in: Algorithms (2019)
Keyphrases
- random forest
- monitoring and fault diagnosis
- fault diagnosis
- multiscale
- expert systems
- decision trees
- feature set
- neural network
- fault detection
- bp neural network
- image processing
- ensemble methods
- wavelet transform
- power transformers
- electronic equipment
- multi label
- gas turbine
- fault detection and diagnosis
- condition monitoring
- chemical process
- multi sensor information fusion
- wavelet coefficients
- image segmentation
- operating conditions
- fuzzy logic
- base classifiers
- data mining
- analog circuits
- feature space
- training data
- multiple faults
- machine learning