基于SVDD与信息融合技术的设备性能退化评估

刘 雨 陈 进 潘玉娜 郭 磊

振动与冲击 ›› 2009, Vol. 28 ›› Issue (9) : 21-24.

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振动与冲击 ›› 2009, Vol. 28 ›› Issue (9) : 21-24.
论文

基于SVDD与信息融合技术的设备性能退化评估

  • 刘 雨 陈 进 潘玉娜 郭 磊
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SVDD AND INFORMATION FUSION TECHNOLOGY BASED EQUIPMENT PERFORMANCE DEGRADATION ASSESSMENT

  • LIU Yu CHEN Jin PAN Yuna GUO Lei
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摘要

为了能够准确地对大型设备的性能退化过程进行描述,提出了一种基于支持向量数据描述(SVDD)和信息融合技术的评估方法。通过SVDD算法分别评估来自单个传感器的数据,然后运用D-S证据理论对来自多传感器的局部评估结果进行信息融合,最终给出设备的整体性能评估结果。实验分析表明,SVDD算法能够真实地反映设备局部性能退化状态的变化,而利用D-S证据理论得出的整体设备状态评估结果符合实际情况,同时有效得消除了局部信息之间的矛盾,提高了设备整体评估的可靠性。

Abstract

To improve the accuracy of description of equipment performance degradation process, a novel method for performance degradation assessment is proposed, which bases on two techniques: Support Vector Data Description (SVDD) and Dempeter-Shafer theory. SVDD was used to assess the performance according to the data from single sensor, and the performance assessment results based on multi-sensor were sent to D-S theory as input to obtain the assessment result of the whole system. As shown in experience, SVDD can reflect the performance degradation of equipment parts, the results of the equipment given by D-S theory accord with the practical situation, and the algorithms can deal with the evidence conflict problem effectively, which have improved the accuracy and reliability of the assessment results.

关键词

性能退化 / 支持向量数据描述 / 信息融合 / D-S证据理论

Key words

Performance degradation / Support vector data description / Information fusion / Dempeter-Shafer theory

引用本文

导出引用
刘 雨 陈 进 潘玉娜 郭 磊. 基于SVDD与信息融合技术的设备性能退化评估[J]. 振动与冲击, 2009, 28(9): 21-24
LIU Yu CHEN Jin PAN Yuna GUO Lei. SVDD AND INFORMATION FUSION TECHNOLOGY BASED EQUIPMENT PERFORMANCE DEGRADATION ASSESSMENT[J]. Journal of Vibration and Shock, 2009, 28(9): 21-24

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