基于卡尔曼滤波的剩余寿命预测模型

Abstract

Abstract:

The vibration severity is an evaluation index of remaining life.To improve the vibration severity forecasting accuracy and solve the problem of time delay of forecasting by time series model,the author proposes a hybrid algorithm integrating time series analysis with Kalman filter.The basic concept of this algorithm is as following:firstly,by use of time series analysis theory,the stationary modeling for vibration severity is proceeded to obtain the model equation conforming to its variation law;secondly,by means of the obtained model equation the state equation and observational equation for Kalman filter are deduced;thirdly,the vibration severity is forecasted by Kalman forecasting recurrence equation;and finally,the forecasting for vibration severity is conducted to validate the proposed hybrid algorithm.Case study results show that by using this hybrid algorithm the forecasting accuracy of vibration severity is improved and the time delay in the forecasting is well solved.

Key words: hybrid algorithm;Kalman filter;remaining life;vibration severity

CLC Number:

TN911.7

ZHAI Libo,HAN Ning. Remaining Life Forecast Model Based on Kalman Filter[J]., 2013, 26(9): 28-.

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Remaining Life Forecast Model Based on Kalman Filter

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