TY - JOUR
AU - Mohammad Jafari, Seyed
AB - This paper deals with vibration-fault diagnosis of spark plug of an internal combustion engine using wavelet analysis and support vector machine. In order to reduce the noises of the vibration signals, wavelet denoising technique was used. A performance comparison was made between different mother wavelets as well as different levels of decomposition in order to find the best cases for the system under study. The results showed that the maximum classification accuracies were obtained by 13 different wavelets, namely, db1_4, db1_5, db2_4, db3_4, coif1_4, coif1_5, coif2_4, coif3_3, coif3_4, coif3_5, dmey_2, dmey_4 and bior3.7_6. It was also demonstrated that db1, coif1, coif3 and dmey were valuable mother wavelets for this study. Moreover, the results indicated that the proposed approach can reliably be used for spark plug fault diagnosis.
TI - Wavelet denoising using different mother wavelets for fault diagnosis of engine spark plug
JF - Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
DO - 10.1177/0954408915595952
DA - 2017-06-01
UR - https://www.deepdyve.com/lp/sage/wavelet-denoising-using-different-mother-wavelets-for-fault-diagnosis-4X0dRmU073
SP - 359
EP - 370
VL - 231
IS - 3
DP - DeepDyve
ER -