Abstract：TDA is a very useful signal processing method which is commonly used in mechanical fault diagnosis. It can be used to extract the specific periodic components from noisy signal and at the same time to suppress other periodic components. But the TDA has two questions, on the one hand, the acquisition of key-Phase signal is difficult and the treatment processing is to be influenced by both environment and condition factors. On the other hand, it is also difficult to obtain the satisfied results because of existing periodic truncation error. In order to solve these questions, this paper proposes a multi-band FIR filtering based TDA method In the method, the key-Phase signal is not necessary, which avoid effectively the shortage of traditional methods. This makes it suitable to a wider class of engineering applications. The performances of traditional TDA method and the multi-band FIR filter method are compared and analyzed. The results show affectivity of our new method. .
冯武卫 1，2,李鹏鹏 1，张玉莲 1，施立峰 3. 机械信号时域平均消噪方法的滤波器实现[J]. 振动与冲击, 2017, 36(21): 192-195.
Feng Wuwei 1,2 Li Pengpeng 1 Zhang Yulian 1 Shi Lifeng 3. Realization of Time Domain Average Denoising Method of Mechanical Signals by Using Filter. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(21): 192-195.
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