Application in nonstationary signals with improved kalman filter technique

In order to solve operation speed slowly for traditional kalman filter technique and the effectiveness is not ideal in processing the nonstationary signals, the traditional kalman filter is improved and applied into the actual measurement nonstationary vibration signals. Firstly, the traditional kalman filter technique is analyzed and the shortcoming using in gearbox fault diagnose is discovered, and then the improved method is brought forward. Secondly, the nonstationary vibration signals in time-domain are analyzed with the new method, but the outcome couldn´t be diagnosed the fault in gearbox. Thirdly, the nonstationary signals in time-domain are resampled with order analysis arithmetic. The data at constant angle increments in angle-domain are obtained. Therefore, the instantaneously signals in time-domain is changed into pseudo-stationary ones in angle-domain. Then, the signals in angle-domain are analyzed with the improved kalman filter technique. At last, the mesh character of the gearbox is obtained. The outcome shows that the operation speed is enhanced than the traditional method. The nonstationary signals in time-domain are translated into pseudo-stationary ones in angle-domain. The precision of the data in angle-domain is exactly than the data in time-domain. It is trenchancy supplement for traditional kalman filter technique and has more amplitude appliance foreground.