Wang et al., 2021 - Google Patents
An enhanced diagnosis method for weak fault features of bearing acoustic emission signal based on compressed sensingWang et al., 2021
View PDF- Document ID
- 17201574161640252943
- Author
- Wang C
- Liu C
- Liao M
- Yang Q
- Publication year
- Publication venue
- Math. Biosci. Eng
External Links
Snippet
Aiming at the problems of data transmission, storage, and processing difficulties in the fault diagnosis of bearing acoustic emission (AE) signals, this paper proposes a weak fault feature enhancement diagnosis method for processing bearing AE signals in the …
- 238000003745 diagnosis 0 title abstract description 8
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110792563B (en) | Wind turbine generator blade fault audio monitoring method based on convolution generation countermeasure network | |
| Tang et al. | Sparse classification of rotating machinery faults based on compressive sensing strategy | |
| CN105445022B (en) | A kind of planetary gear method for diagnosing faults based on dual-tree complex wavelet transform entropy Fusion Features | |
| CN105760839A (en) | Bearing fault diagnosis method based on multi-feature manifold learning and support vector machine | |
| CN106323635A (en) | Rolling bearing fault on-line detection and state assessment method | |
| CN113375939B (en) | Mechanical part fault diagnosis method based on SVD and VMD | |
| CN102243133A (en) | High-speed automaton fault diagnosis method based on movement patterns and impact signal analysis | |
| CN111238843A (en) | Fan health evaluation method based on rapid spectrum kurtosis analysis | |
| Jin et al. | Weighted local and global regressive mapping: A new manifold learning method for machine fault classification | |
| Wang et al. | An enhanced diagnosis method for weak fault features of bearing acoustic emission signal based on compressed sensing | |
| Gao et al. | Fault diagnosis of rolling bearings based on improved energy entropy and fault location of triangulation of amplitude attenuation outer raceway | |
| Chen et al. | Fault identification method for planetary gear based on DT-CWT threshold denoising and LE | |
| CN111414893A (en) | Rotor fault feature extraction method based on VMD fine composite multi-scale diffusion entropy | |
| Zhao et al. | A novel deep fuzzy clustering neural network model and its application in rolling bearing fault recognition | |
| Ma et al. | An Improved Time‐Frequency Analysis Method for Instantaneous Frequency Estimation of Rolling Bearing | |
| Han et al. | A novel rolling bearing fault diagnosis method based on generalized nonlinear spectral sparsity | |
| Hu et al. | KPCA and AE Based Local‐Global Feature Extraction Method for Vibration Signals of Rotating Machinery | |
| Zhao et al. | Research on constructing a degradation index and predicting the remaining useful life for rolling element bearings of complex equipment | |
| Gao et al. | A new approach to adaptive VMD based on SSA for rolling bearing fault feature extraction | |
| Luan et al. | Bearing fault damage degree identification method based on SSA-VMD and Shannon entropy–exponential entropy decision | |
| Li et al. | Pumping unit fault analysis method based on wavelet transform time-frequency diagram and cnn | |
| Guan et al. | Sharing pattern feature selection using multiple improved genetic algorithms and its application in bearing fault diagnosis | |
| Wang et al. | Time‐Frequency Fault Feature Extraction for Rolling Bearing Based on the Tensor Manifold Method | |
| Tai et al. | Bearing fault diagnosis based on wavelet sparse convolutional network and acoustic emission compression signals | |
| CN113281047A (en) | Bearing inner and outer ring fault quantitative trend diagnosis method based on variable-scale Lempel-Ziv |