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METHOD FOR ROLLING BEARING FAULT DETECTION BASED ON ENHANCING STATISTICAL ASYMMETRY
METHOD FOR ROLLING BEARING FAULT DETECTION BASED ON ENHANCING STATISTICAL ASYMMETRY
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机译:基于统计不对称性的滚动轴承故障检测方法
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摘要
A method for digital processing of vibration signals from rolling bearings in rotating machines is presented, allowing subsequent fault detection with high reliability. A linear, adaptive filter is applied to the acquired vibration signal and iteratively tuned to increase the statistical asymmetry of its output. In this process, the filter removes phase- and amplitude distortion from underlying fault impulses. Furthermore, suppression of sinusoidal disturbances is simultaneously achieved with high robustness to measurement noise. The result is a processed signal from which rolling bearing defects are more easily detected.
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