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出 处:《机床与液压》2014年第12期68-72,共5页Machine Tool & Hydraulics
基 金:Project supported by Natural Science Foundation of China(51205130,51265010);the Foundation of Jiangxi Educational Committee(GJJ12318);the Natural Science Foundation of Jiangxi Province(20132BAB216029)
摘 要:滚动轴承是一种最常用的机械设备,其性能退化评估是实现CBM(视情维修)的基础。但要找到一种具有可靠性好、效率高和故障预警早的滚动轴承监测系统是一个重大的挑战。提出了一种简单新颖的轴承性能退化评估时域方法,并将其运用于在滚动轴承故障模拟试验和全寿命测试实验,两种实验结果都表明:所提出方法能够清晰地描述故障程度变化趋势并能检测早期故障。Rolling bearings are widely adopted for the mechanical equipment and the performance degradation assessment is the base to realize CBM (condition-based maintenance). Condition monitoring of rolling bearings has made certain progress over the past decades, but it is still a challenge to establish a monitoring system which has the advantages of high reliability, high effi- ciency and triggering an early warning of bearing faults. This paper presents a novel simple timedomain method for bearing performance degradation assessment, which was evaluated by simulated bearing fault signals and bearing run-to-failure test data. Both results demonstrate that the presented method is able to clearly describe the trend of bearing fault degree change and detect a fault at the early stage.
分 类 号:TH133.33[机械工程—机械制造及自动化]
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