会议专题

Processing of Hydraulic Pressure Sensor Signal based on Wavelet Analysis

Hydraulic pressure sensor in the automobile is vulnerable to be polluted by the environment of vehicle, the excitation of road and other factors. In this paper, a method based on wavelet analysis is proposed to solve the interference of hydraulic sensor signal. With the wavelet time-frequency analysis, the development trend of the effective signal is identified by wavelet decomposition. Then on the basis of the estimation method, which estimates the noise variance by correlation coefficients, the sensor signal is treated by use of wavelet threshold de-noising. Finally, the available sample value of the signal is constructed by mean filter. In addition, it has been proved by the experiment that the approach, put forward in this paper, is an effective way on the analysis of hydraulic signal and noise elimination.

wavlet analysis wavelet decomposition threshold de-noising correlation coefficients

Xin Shi Xiang-mo Zhao Fei Hui Lan Yang

School of Information Engineering Chang an University Xi an, China, 710064

国际会议

2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

秦皇岛

英文

468-471

2010-11-05(万方平台首次上网日期,不代表论文的发表时间)