Exploring real-time fault detection of high-speed train traction motor based on machine learning and wavelet analysis.
Yanshu LiPublished in: Neural Comput. Appl. (2022)
Keyphrases
- fault detection
- wavelet analysis
- real time
- machine learning
- high speed train
- industrial processes
- fault diagnosis
- fault identification
- control system
- wavelet transform
- condition monitoring
- multiresolution
- low frequency
- fuel cell
- robust fault detection
- basis functions
- pattern recognition
- factor analysis
- feature detection
- artificial intelligence
- vibration signal
- computational intelligence
- tennessee eastman
- feature selection
- data mining
- input output
- power plant
- statistical methods
- high frequency
- signal processing
- expert systems
- data analysis
- computational complexity
- neural network