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基于奇异值分解的轴心轨迹提纯方法研究
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摘要
轴心轨迹是旋转机械转子振动信号时域分析的重要内容之一,不同的轴心轨迹反映出不同的转子运动状态或故障的基本信息。在深入研究奇异值分解信号降噪的基础上,提出轴心轨迹提纯方法。该方法实现了的信号降噪。对小型转子试验台轴心轨迹的成功提纯验证了该方法的有效性。该方法具备算法简单、易于现场采用等优点,为转子故障信号的分析创造了条件。
Singular value decomposition is one of the most important parts in vibration signal time domain analysis for rotating machinery rotor. Different axis orbits reflect different rotator motion state or basic.fault information. After make carefully research on Singular Value Decomposition Signal Noise Reduction, this paper gives out a method of purification of axis orbit, which realize Signal Noise Reduction. Then the paper proves this method is effective by purifying the axis orbit successfully in a small rotator. The method given out in this paper is simple and easy to be realized, and supply a way for rotator fault signal analysis.
引文
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