Parasitic Discrete Wavelet Transform and its Application on Abnormal Signal Detection(Mechanical Systems)
Zhong Zhang, Hiroki Ikeuchi, Noriho Saiki, Takashi Imamura, Hideaki Ishii, Hiroshi Toda, Tetsuo Miyake · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 2009
In this study, in order to improve effectiveness of the abnormal signal detection, we first developed a novel parasitic discrete wavelet transform (P-DWT) to perform fast wavelet instantaneous correlation (F-WIC) and then proposed a new design method of the parasitic filters for the P-DWT. Furthermore, we showed a judgment standard for assessing the credibility of the abnormal signal detection by using the P-DWT. Finally, we applied the F-WIC to car rattle noise source identification and showed that our method can improve computation efficiency and obtain sufficient calculation accuracy at the same time.