个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:女
毕业院校:东京大学
学位:博士
所在单位:机械工程学院
学科:机械设计及理论. 测试计量技术及仪器. 工业工程
办公地点:西校区机械知方楼8005室
联系方式:liushujie@dlut.edu.cn
电子邮箱:liushujie@dlut.edu.cn
Exponential Smoothing Model for Condition Monitoring: A Case Study
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论文类型:会议论文
发表时间:2013-01-01
收录刊物:CPCI-S、Scopus
页面范围:1742-1746
关键字:reliability prediction; exponential smoothing; double row cylindrical roller bearing; one-step and multi-step prediction
摘要:With the development of advanced technologies, the reliability evaluation of key components or equipments and preventive maintenance decision-making are becoming more and more important. Online reliability assessment and remaining life prediction using degradation data of real-time monitoring have been accounted as a hot trend in development. This article presents a means of conditional reliability evaluation by extracting characteristic parameters, which can represent the performance of the equipment in service. According to the time order, the physical performance measurements are regarded as time series. Exponential smoothing method is adopted to establish time series prediction model by computing exponential smoothing values. Performance parameters over a future time period are gained by the model constructed before. Experiments were carried out on a double row cylindrical roller bearing to get the vibration information and a mathematical model was built to forecast the future performance. The experiments proved the validity of the aforementioned method.