Osman et al., 2018
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Vibration feature extraction techniques for fault diagnosis of rotating machinery: a literature survey | |
| Chen et al. | Fault diagnosis method based on integration of RSSD and wavelet transform to rolling bearing | |
| Guo et al. | Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition | |
| Osman et al. | A morphological Hilbert-Huang transform technique for bearing fault detection | |
| He et al. | Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosis | |
| He et al. | Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform | |
| Lei et al. | Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs | |
| US7430483B2 (en) | Method and apparatus for diagnosing a mechanism | |
| Djebala et al. | Rolling bearing fault detection using a hybrid method based on empirical mode decomposition and optimized wavelet multi-resolution analysis | |
| Kulkarni et al. | Application of wavelet transform for fault diagnosisof rolling element bearings | |
| CN102539150A (en) | Self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation | |
| Zhou et al. | Using frequency domain analysis techniques for diagnosis of planetary bearing defect in a CH-46E helicopter aft gearbox | |
| CN111638055B (en) | Gearbox fault diagnosis method based on resonance sparse decomposition improved algorithm | |
| Soualhi et al. | PHM survey: Implementation of signal processing methods for monitoring bearings and gearboxes | |
| Liu et al. | Adaptive multiscale boosting dictionary learning for bearing fault diagnosis | |
| Osman et al. | A leakage-free resonance sparse decomposition technique for bearing fault detection in gearboxes | |
| Xu et al. | Weak fault detection of rolling bearing using a DS-based adaptive spectrum reconstruction method | |
| CN117109923A (en) | A rolling bearing fault diagnosis method and system | |
| Xin et al. | A new fault feature extraction method for non-stationary signal based on advanced synchrosqueezing transform | |
| Djemili et al. | A wind turbine bearing fault detection method based on improved CEEMDAN and AR-MEDA | |
| Xiaochi et al. | Multi-channel vibration information weighted fusion for fault feature extraction of rotating machinery main bearings | |
| Loutridis et al. | Classification of gear faults using Hoelder exponents | |
| Sahoo et al. | Application of adaptive wavelet transform for gear fault diagnosis using modified-LLMS based filtered vibration signal | |
| Bouaouiche et al. | Bearing fault detection using a method involving absolute value spectrum and impulsivity evaluation | |
| Zhang et al. | Fault diagnosis of rolling element bearing using ACYCBD based cross correlation spectrum |