Rotating Machinery Fault Diagnosis Using HHO-RSSD and RCGmvMAAPE

• Published in: Shock and vibration Vol. 2022; pp. 1 - 34
• Main Author: Zhang, Ning
• Format: Journal Article
• Language: English
• Published: Cairo Hindawi 2022; John Wiley & Sons, Inc; Hindawi Limited
• Subjects: Algorithms; Analysis; Belief networks; Classification; Decomposition; Deep learning; Efficiency; Entropy; Fault diagnosis; Machinery; Methods; Multivariate analysis; Optimization; Pattern recognition; Permutations; Resonance; Rotating machinery; Support vector machines; Time series; Vibration analysis; Wavelet transforms

Rotating machinery has played an enormous role in industrial production, and its stable operation is related to whether production can proceed smoothly. At present, multichannel entropy-based methods are usually be adopted to analyze multichannel vibration signals. However, the collected signal may...