基于AR模型的Kolmogorov-Smirnov检验性能退化及预测研究

从飞云;陈进;董广明

振动与冲击 ›› 2012, Vol. 31 ›› Issue (10) : 79-82.

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振动与冲击 ›› 2012, Vol. 31 ›› Issue (10) : 79-82.
论文

基于AR模型的Kolmogorov-Smirnov检验性能退化及预测研究

  • 从飞云,陈进,董广明
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Kolmogorov-Smirnov test Performance Degradation Assessment and Prognosis based on AR Model

  • Cong Fei-yun, Chen Jin, Dong Guang-ming
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文章历史 +

摘要

设备性能退化评估是对现有故障诊断技术的全新拓展,它为更有效地实现智能主动维护提供参考,更有利于实现设备的零停机率。开展对设备的性能退化评估研究,还可以实现对设备的性能预测维护功能,大大提高设备运行的可靠性。提出了基于AR预测白噪化的Kolmogorov-Smirnov检验方法,同时实现了滚动轴承的全寿命实验。通过对轴承全寿命实验数据的分析研究,论证了本方法在设备性能退化评估及预测中的研究价值,相对于有效值等传统方法,它不仅能够显著地表现前期的微弱退化状态,而且还能有条件地更早指示设备的异常状态,对于故障预测的研究具有较大的意义。

Abstract

Equipment performance degradation assessment is the complete development of existing fault diagnosis techniques. It can give effective reference to the intelligent proactive maintenance to realize near-zero downtime. Carrying out the research of performance degradation assessment, we can realize the predictive maintenance for the equipment which can improve the reliability of the equipment. Kolmogorov-Smirnov test based on AR model is proposed by this paper. According to the analysis of data from rolling bearing’s whole life time (normal-fault-failure), the proposed method can effectively realize the performance degradation assessment and prognosis to the bearings. Compared with traditional method, it can not only obviously detect incipient weak defect and indicate performance degradation process but also detect abnormal stage earlier before the bearing steps into failure in some conditions. This point is significant in condition maintenance and prognosis.

关键词

Kolmogorov-Smirnov 检验 / 性能退化评估 / 预测 / AR滤波 / 白噪化

Key words

Kolmogorov-Smirnov test / Performance Degradation Assessment / Prognosis / AR Filter / pre-whitening

引用本文

导出引用
从飞云;陈进;董广明. 基于AR模型的Kolmogorov-Smirnov检验性能退化及预测研究[J]. 振动与冲击, 2012, 31(10): 79-82
Cong Fei-yun;Chen Jin;Dong Guang-ming. Kolmogorov-Smirnov test Performance Degradation Assessment and Prognosis based on AR Model[J]. Journal of Vibration and Shock, 2012, 31(10): 79-82

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