Research on fault signal detection method of mechanical vibration based on Kalman filtering algorithm Online publication date: Wed, 14-Sep-2022
by Yaozeng Jia; Ye Hu
International Journal of Information and Communication Technology (IJICT), Vol. 21, No. 3, 2022
Abstract: There are some problems in traditional mechanical fault signal detection, such as large fault detection error and is time-consuming. A mechanical vibration fault signal detection method based on Kalman filter algorithm is proposed. The time-varying nonlinear oil film force of mechanical equipment under different working conditions is analysed. The piezoelectric acceleration sensor is set in the mechanical equipment to obtain the mechanical vibration fault signal. The energy difference between the normal signal and the fault signal is obtained by arranging them according to the acquisition time sequence. The mechanical vibration fault signal is pre-processed by Kalman filtering algorithm to obtain the state prediction of the fault signal. The frequency and amplitude characteristics of mechanical vibration fault signal are obtained to complete the detection of mechanical vibration fault signal. The results show that the error of the proposed method is small and the detection time is 2 s.
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