摘要
针对复杂机械设备剩余使用寿命难以预测的问题,提出了基于相似性的机械设备剩余使用寿命预测方法。基于相关性分析设计了特征量选取方案,通过计算预测数据与样本数据对应特征量的相似程度确定参考剩余使用寿命与权重,再计算参考剩余使用寿命的加权和,得到剩余使用寿命。实验结果表明,该方法能有效提取出可准确反映轴承剩余使用寿命变化趋势的特征量,且能有效地预测轴承剩余使用寿命,准确率高达81.8%,为相关设备的寿命管理提供了科学依据。
In view of problem that remaining useful life of complex machinical equipment was difficult to predict,an approach for remaining useful life prediction based on similarity was presented.Feature extraction method was established based on correlation analysis,reference remaining useful life and its weight can be determined by computing similarity of the relevant feature between sample data and prediction data.Finally,remaining useful life can be obtained by calculating weighted sum of the reference remaining useful life.Experiment results show that the proposed approach can effectively extract feature which can precisely reflect variation trend of the remaining useful life of bearing,and can more effectively predict remaining useful life of bearing with accuracy rate of 81.8%,and provides a scientific basis for life management of related equipment.
出处
《工矿自动化》
北大核心
2016年第6期52-56,共5页
Journal Of Mine Automation
基金
山西省科技重大专项计划基金资助项目(20131101029)
关键词
机械设备
使用寿命
预测
相关性分析
mechanical equipment
useful life
prediction
correlation analysis
