基于KPCA和WPHM的滚动轴承可靠性评估与寿命预测

发布时间：2017-12-28 14:23

  本文关键词：基于KPCA和WPHM的滚动轴承可靠性评估与寿命预测　出处：《振动.测试与诊断》2017年03期 　论文类型：期刊论文

  更多相关文章： 滚动轴承 寿命预测 核主元分析 威布尔比例故障率模型 相对特征

【摘要】：为了评估滚动轴承的可靠性和预测剩余使用寿命,选取能够反映性能退化过程的特征参数作为寿命预测模型的输入参数,提出一种基于核主元分析(kernel principal component analysis,简称KPCA)和威布尔比例故障率模型(Weibull proportional hazards model,简称WPHM)的方法。首先,提取滚动轴承全寿命周期的时域、频域及时频域等多特征参数,从中筛选出有效的特征参数,构建高维相对特征集;其次,进行核主元分析,选取能够反映轴承全寿命周期性能退化过程的核主元,进而作为WPHM的协变量来进行可靠性评估和剩余寿命预测。通过滚动轴承全寿命试验,验证了该方法能够对轴承进行准确的可靠性评估和剩余寿命预测,以提供及时的维修决策。同时,由于提取的是相对特征,降低了同种轴承间在制造、安装及工况的差异,增强了该方法的适用性和稳定性。
[Abstract]:In order to evaluate the reliability and prediction of rolling bearing residual service life, selection of characteristic parameters can reflect the performance degradation process of life prediction as input parameters of the model, put forward a kind of based on kernel principal component analysis (kernel principal component analysis, referred to as KPCA) and Weibull proportional hazards model (Weibull proportional hazards model, referred to as WPHM) method. First, multi feature extraction of rolling bearing life cycle time-domain and frequency domain, selected the effective feature parameters in construction of high dimensional relative feature set; secondly, to select the kernel principal component analysis, kernel principal component can reflect the degradation process of bearing life cycle performance, and as a covariate WPHM to evaluate the reliability and residual life prediction. Through the life cycle test of rolling bearing, it is verified that the method can accurately evaluate the bearing and predict the remaining life, so as to provide timely maintenance decisions. At the same time, due to the relative characteristics, the difference between the manufacturing, installation and working conditions of the same kind of bearing is reduced, and the applicability and stability of the method are enhanced.
【作者单位】： 大连理工大学机械工程学院;
【基金】：国家自然科学基金资助项目(51375067) 航空科学基金资助项目(20132163010)
【分类号】：TH133.33
【正文快照】： 引言滚动轴承是旋转机械的关键组成部件之一,其性能的好坏直接影响整台机器能否正常运转。在滚动轴承发生损毁之前,对轴承进行主动维修保养可以有效避免恶性事故的发生,最大程度地减少生命财产损失[1]。有效的维修策略不仅可以减少停机次数和降低维修成本,而且可以保障整个设，

本文编号：1346373