A novel intelligent method for mechanical fault diagnosis based on dual-tree complex wavelet packet transform and multiple classifier fusion
A fault diagnosis method using DTCWPT and multiple classifier fusion is proposed. DTCWPT is introduced and performed on vibration signals for feature extraction. A multiple classifier fusion framework based on NRS is developed. Accurate diagnosis results are achieved using the proposed method.
fault diagnosis dual-tree complex wavelet packet transform multiple classifier fusion neighborhood rough set bayesian belief method