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Application in nonstationary signals with improved kalman filter technique

机译:改进的卡尔曼滤波技术在非平稳信号中的应用

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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.
机译:为了解决传统卡尔曼滤波技术的运算速度慢,处理非平稳信号的效果不理想的问题,对传统卡尔曼滤波器进行了改进,并将其应用于实际测量非平稳振动信号。首先,对传统的卡尔曼滤波技术进行了分析,发现了变速箱故障诊断中的缺点,提出了改进的方法。其次,利用新方法分析了时域中的非平稳振动信号,但无法诊断出齿轮箱故障的结果。第三,利用阶次分析算法对时域中的非平稳信号进行重采样。获得在角域中以恒定角增量的数据。因此,时域中的瞬时信号在角域中变为伪平稳信号。然后,利用改进的卡尔曼滤波技术对角域信号进行分析。最后,获得了变速箱的啮合特性。结果表明,与传统方法相比,运算速度有所提高。时域中的非平稳信号被转换为角域中的伪平稳信号。角度域中的数据精度比时域中的数据精确。它是传统卡尔曼滤波技术的增补性补充,并且具有更大幅度的应用前景。

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