A Fault Diagnosis Methodology Based on Non-Stationary Monitoring Signals by Extracting Features With Unknown Probability Distribution.
Lei HuangYiming WangJianfeng QuHao RenPublished in: IEEE Access (2020)
Keyphrases
- non stationary
- fault diagnosis
- extracting features
- probability distribution
- monitoring and fault diagnosis
- fault detection and diagnosis
- condition monitoring
- industrial systems
- biomedical signals
- empirical mode decomposition
- blind source separation
- white noise
- neural network
- fault detection
- fault tree
- expert systems
- vibration signal
- feature extraction
- autoregressive
- fuzzy logic
- operating conditions
- power transformers
- gas turbine
- rotating machinery
- electronic equipment
- ecg signals
- multiple faults
- chemical process
- multi sensor information fusion
- analog circuits
- machine learning
- random fields
- image processing
- bayesian networks
- real time
- failure detection
- instantaneous frequency
- signal processing
- power plant