Gear Signal Separation by Exploiting the Spectral Diversity and Cyclostaionarity
- Resource Type
- Conference
- Authors
- Sabri, K.; El Badaoui, M.; Guillet, F.; Adib, A.; Aboutajdine, D.
- Source
- 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. 3:III-III 2006
- Subject
- Signal Processing and Analysis
Components, Circuits, Devices and Systems
Gears
Source separation
Wheels
Mechanical sensors
Rotating machines
Signal processing
Blind source separation
Degradation
Frequency response
Joining processes
Mechanical Structure Frequency Response
Blind Source Separation
Cyclostationarity
Diagnostics
- Language
- ISSN
- 1520-6149
2379-190X
This paper deals with the problem concerning the framework of rotating machines diagnostics by using signal processing advanced tools and more precisely Blind Source Separation (BSS) methods. An application on gear box is given, the objective is to separate gear mesh signals corresponding to each reducer's wheel. It enables us to diagnose and separate each defect in the event of degradation. The proposed method exploits the information redundancy around the meshing frequency and its harmonics resulting from cyclostationarity properties. This redundancy allows us to separate the contribution of each wheel from only one sensor, by tacking advantage of the non-uniformity of the Mechanical Structure Frequency Response (MSFR) connecting the exciting source to the sensor.