Joint extraction-based multivariate chirp mode decomposition and its application to fault diagnosis of rotating machinery under variable speed conditions.
Jie HuangChaoshun LiXiangqu XiaoTian YuPublished in: J. Frankl. Inst. (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- operating conditions
- expert systems
- neural network
- fourier transform
- fuzzy logic
- bp neural network
- fault detection and diagnosis
- electronic equipment
- frequency domain
- fault identification
- power transformers
- failure diagnosis
- soft computing methods
- electrical power systems
- wind turbine
- chemical process
- multi sensor information fusion
- monitoring and fault diagnosis
- multiple faults
- gas turbine
- wavelet packet
- rbf neural network
- industrial systems
- condition monitoring
- non stationary
- decision making
- genetic algorithm
- tennessee eastman
- machine learning
- real time