Extraction of Machine Fault Signal Based on Discrete Wavelet Transform
The impact signal is contained in the fault signals of some pivotal components such as bearings and gears. Extracting weensy impact information is an important method to diagnose equipment. With the combination of discrete wavelet transform and spectrum analysis, extracting the nonstationary signals from vibrating signal in machine is a practically effective means of diagnosing the fault signals and their types so as to anticipate machine faults. It is very effective to extract impact information in application by utlizing the discrete wavelet transform.
Xiaodong Zhang, Zhijiu Ai, Prasad Yarlagadda and Yun-Hae Kim
X. Z. Yang and G. G. Cheng, "Extraction of Machine Fault Signal Based on Discrete Wavelet Transform", Advanced Materials Research, Vol. 338, pp. 388-391, 2011