Research on the Sparse Representation for Gearbox Compound Fault Features Using Wavelet Bases
The research on gearbox fault diagnosis has been gaining increasing attention in recent years, especially on single fault diagnosis. In engineering practices, there is always more than one fault in the gearbox, which is demonstrated as compound fault. Hence, it is equally important for gearbox compo...
Saved in:
| Main Authors: | Chunyan Luo, Changqing Shen, Wei Fan, Gaigai Cai, Weiguo Huang, Zhongkui Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/560171 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Double Q Wavelet-based Sparse Decomposition to Fault Feature Extraction of Wind Turbine Planetary Gearbox
by: Jin XU, et al.
Published: (2021-10-01) -
A Feature Extraction Method of Wheelset-Bearing Fault Based on Wavelet Sparse Representation with Adaptive Local Iterative Filtering
by: Zhan Xing, et al.
Published: (2020-01-01) -
Fault Identification of Gearbox Degradation with Optimized Wavelet Neural Network
by: Hanxin Chen, et al.
Published: (2013-01-01) -
Feature Extraction Using Discrete Wavelet Transform for Gear Fault Diagnosis of Wind Turbine Gearbox
by: Rusmir Bajric, et al.
Published: (2016-01-01) -
LOW FREQUENCY FAULT FEATURE EXTRACTION FOR GEARBOX BASED ON WAVELET TRANSFORM AND CONSTRAINED INDEPENDENT COMPONENT ANALYSIS
by: LENG JunFa, et al.
Published: (2018-01-01)