无失效样本信息下的机械运行可靠性评估

发布时间：2018-03-10 21:49

本文选题：运行可靠性　切入点：机械可靠性　出处：《组合机床与自动化加工技术》2017年11期 　论文类型：期刊论文

【摘要】：为了解决单台机械设备可靠性评估过程中样本难以获取和可靠性评估结果难以反映设备个性特征的问题,对在无失效样本信息条件下的机械运行可靠性评估进行了研究。基于故障既是状态(设备性能和状况)又是过程(故障萌生和扩展)这一本质属性,提出设备的运行信息是辨别设备是否可靠运行的关键证据;为了提高证据的证据力,提出了一种基于支持向量数据描述方法以形成支持证据空间的方法;针对无失效样本信息的问题,提出了支持证据统计方法。最后利用一个轴承失效实验验证了方法的可行性。
[Abstract]:In order to solve the problem that it is difficult to obtain samples in the process of reliability evaluation of single mechanical equipment and the results of reliability evaluation are difficult to reflect the characteristics of equipment, In this paper, the reliability evaluation of mechanical operation under the condition of no failure sample information is studied. Based on the essential attribute that fault is both state (equipment performance and condition) and process (fault initiation and extension), The operation information of the equipment is proposed as the key evidence to distinguish the reliability of the equipment, and a method based on support vector data description to form the supporting evidence space is proposed in order to improve the evidential power of the evidence. In order to solve the problem of no failure sample information, a statistical method of supporting evidence is proposed. Finally, a bearing failure experiment is used to verify the feasibility of the method.
【作者单位】：三峡大学水电机械设备设计与维护湖北省重点实验室;西安交通大学陕西省机械产品保障与诊断重点实验室;
【基金】：国家自然科学基金(51405264) 三峡大学启动基金(KJ2014B042) 水电机械设备设计与维护湖北省重点实验室开放基金(2016KJX09) 陕西省机械产品质量保障与诊断重点实验室开放基金(SKLMPQAD-201604)
【分类号】：TH17

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