• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2015, Vol. 51 ›› Issue (18): 198-203.doi: 10.3901/JME.2015.18.198

• 交叉与前沿 • 上一篇    下一篇

基于状态监测数据的电器电接触性能评估

李玲玲, 马东娟, 李志刚   

  1. 河北工业大学电磁场与电器可靠性省部共建重点实验室 天津 300130
  • 出版日期:2015-09-15 发布日期:2015-09-15
  • 基金资助:
    国家自然科学基金(51377044, 51475136)、河北省高等学校创新团队领军人才培育计划(LJRC003)和河北省自然科学基金(E2014202230)资助项目

Performance Assessment Based on Condition Monitoring Data of Electrical Contact of Electrical Products

LI Lingling, MA Dongjuan, LI Zhigang   

  1. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin 300130
  • Online:2015-09-15 Published:2015-09-15

摘要: 基于概率统计理论的传统可靠性评估方法得到的是批量产品整体的可靠性水平,较强依赖于寿命数据,对于产品运行可靠性进行评估并不适宜。这里以电磁继电器为例,给出一种基于状态监测数据和整体寿命数据的性能评估方法。根据电接触检测试验得到触点接触电阻状态监测数据和继电器的寿命数据,对继电器寿命分布进行检验,确定继电器寿命分布为威布尔分布;以接触电阻为模型协变量,以威布尔分布为继电器失效分布类型,计算继电器基准故障率函数,采用极大似然估计法对模型参数进行估计,建立继电器威布尔比例故障率性能评估模型。在此基础上,给出继电器监测间隔动态预测方法。实例分析表明,该方法对继电器进行性能评价是有效的,可为器件更换、系统维护决策提供支持。

关键词: 比例故障率模型, 电磁继电器, 威布尔分布, 性能评估, 状态监测

Abstract: The result obtained from traditional reliability evaluation methods is the overall level of a collection of electrical products which mainly based on probability and statistics theory, strongly relying on lifetime data, and not suit for operating reliability evaluation. Electromagnetic relay, for example, a performance assessment method based on condition monitoring data and overall lifetime data is proposed. Calculate the baseline hazard rate function according to contact status monitoring and lifetime data from the electrical contact test and determined Weibull distribution as relay’s lifetime distribution after fitting test. Taking contact resistance and Weibull distribution as model covariate and baseline hazard rate function form respectively. Model parameters could be obtained by maximum likelihood estimation method. Weibull proportional hazards model for performance evaluation for relays is established and monitoring interval dynamic prediction method is presented on this basis. Application example is given to verify the effectiveness of this method, providing support for devices change and maintenance decision.

Key words: electromagnetic relays, performance assessment, proportional hazards model(PHM), status monitoring, Weibull distribution

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