Time-Frequency Feature Extraction of a Cracked Shaft Using an Adaptive Kernel

Ghias, A.R.; Behzad, M.

Paper Titles

Comprehensive Analysis of Periodic Regimes of Forced Vibration for Structures with Nonlinear Snap-Through Springs, p.3
Studies on Misalignment in Coupled Rotors, p.13
Mathematical Models of Gear Rattle in Roots Blower Vacuum Pumps , p.21
Proposals for Controlling Flexible Rotor Vibrations by Means of an Antagonistic SMA/Composite Smart Bearing , p.29
Time-Frequency Feature Extraction of a Cracked Shaft Using an Adaptive Kernel , p.37
On Non-Linear Dynamics and a Periodic Control Design Applied to the Potential of Membrane Action, p.47
Computational Mechanics in Virtual Reality: Cutting and Tumour Interactions in a Boundary Element Simulation of Surgery on the Brain , p.55
A New Approach to Stress Analysis of Vascular Devices Using High Resolution Thermoelastic Stress Analysis , p.63
Experimental Evaluation of Physical Properties of Bone Structures, p.71

Home > Applied Mechanics and Materials > Modern Practice in Stress and Vibration Analysis... > Time-Frequency Feature Extraction of a Cracked...

Paper Title:

Time-Frequency Feature Extraction of a Cracked Shaft Using an Adaptive Kernel

Periodical	Applied Mechanics and Materials (Volumes 5 - 6)
Main Theme	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
Citation	M. Behzad et al., 2006, Applied Mechanics and Materials, 5-6, 37
Online since	October, 2006
Authors	M. Behzad, A.R. Ghias
Keywords	Adaptive Kernel, Time-Frequency Representation, Vibration of Rotating Machinery
Price	US$ 28,-

View full size

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.