TY - GEN
T1 - Bearing fault diagnosis using wavelet analysis
AU - Deriche, M.
PY - 2005
Y1 - 2005
N2 - The development of real-time fault detection and identification systems will allow a migration from expensive scheduled based maintenance to the more efficient, less costly alternatives of condition based maintenance. This paper presents a detailed analysis of different methods using wavelet analysis in the diagnosis of faults in rotating machinery from its mechanical vibrations. More specifically, the discrete wavelet transform and the discrete wavelet packet transform will be discussed, as well as the choice of the mother wavelet and the different features that can be extracted from such transforms.
AB - The development of real-time fault detection and identification systems will allow a migration from expensive scheduled based maintenance to the more efficient, less costly alternatives of condition based maintenance. This paper presents a detailed analysis of different methods using wavelet analysis in the diagnosis of faults in rotating machinery from its mechanical vibrations. More specifically, the discrete wavelet transform and the discrete wavelet packet transform will be discussed, as well as the choice of the mother wavelet and the different features that can be extracted from such transforms.
UR - https://www.scopus.com/pages/publications/69649099216
U2 - 10.1109/CCSP.2005.4977189
DO - 10.1109/CCSP.2005.4977189
M3 - Conference contribution
AN - SCOPUS:69649099216
SN - 1424400112
SN - 9781424400119
T3 - 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005
SP - 197
EP - 201
BT - 2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005
ER -