Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy.
Junchao GuoQingbo HeDong ZhenFengshou GuPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- fault detection
- rotating machinery
- fault diagnosis
- fault identification
- industrial processes
- tennessee eastman
- frequency modulation
- amplitude modulation
- fuel cell
- robust fault detection
- fault detection and diagnosis
- condition monitoring
- power plant
- intelligent systems
- mathematical morphology
- failure detection
- fault localization
- neural network
- gas turbine
- case based reasoning
- multiscale
- data mining
- fault isolation
- structuring elements
- non stationary
- expert systems