Time-Frequency Feature Extraction of a Cracked Shaft Using an Adaptive Kernel |
| Journal |
Applied Mechanics and Materials (Volumes 5 - 6) |
| Volume |
Modern Practice in Stress and Vibration Analysis VI |
| Edited by |
Patrick Sean Keogh |
| Pages |
37-44 |
| DOI |
10.4028/www.scientific.net/AMM.5-6.37 |
| Online since |
October, 2006 |
| Authors |
M. Behzad,
A.R. Ghias
|
| Keywords |
Adaptive Kernel, Time-Frequency Representation, Vibration of Rotating Machinery |
| Abstract |
Adaptive time-frequency representations have many advantages compared with
conventional methods. In this paper, a new method is proposed to adapt Smoothed Pseudo Wigner-
Ville distribution to match signal’s time-frequency content. It is based on maximizing a local timefrequency
concentration measure for different time and frequency smoothing window lengths.
Subsequently, the optimized values are used for constructing an adaptive kernel over time. The
proposed transform is then applied to vibration signals of healthy and cracked shafts which are
acquired through run-up, and the crack signature is obtained. Results show that enhanced
improvement in resolution is obtained while the computational cost is not very high. |
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