机械工程学报
機械工程學報
궤계공정학보
CHINESE JOURNAL OF MECHANICAL ENGINEERING
2009年
12期
89-94
,共6页
丁锋%何正嘉%訾艳阳%陈雪锋%曹宏瑞%谭继勇
丁鋒%何正嘉%訾豔暘%陳雪鋒%曹宏瑞%譚繼勇
정봉%하정가%자염양%진설봉%조굉서%담계용
可靠性评估%比例故障率模型%设备状态%振动特征
可靠性評估%比例故障率模型%設備狀態%振動特徵
가고성평고%비례고장솔모형%설비상태%진동특정
Reliability assessment%Proportional hazards model%Equipment condition%Vibration feature
基于概率统计的传统可靠性评估方法一般依赖于失效寿命数据.但失效寿命数据需要通过寿命试验和加速寿命试验获取,对于大量的实时工作设备采用这种方法是不适宜的.这种情况下,基于设备状态的性能退化数据能够提供可靠性评估的重要信息.在集成失效数据可靠性建模技术和基于设备状态的振动信号特征提取的基础上,提出设备状态振动特征的比例故障率模型可靠性评估的新方法.该方法可以把底层信息(如设备运行状态特征的方均根、峭度)与高层信息(如可靠性统计学)之间建立联系,适合设备运行可靠性参数的估计,并能够提供有效的可靠性评估,为设备以可靠性为中心的基于状态的预防维修提供技术支持.通过在铁路机车轮对轴承上的应用实例说明该方法的合理性和有效性.
基于概率統計的傳統可靠性評估方法一般依賴于失效壽命數據.但失效壽命數據需要通過壽命試驗和加速壽命試驗穫取,對于大量的實時工作設備採用這種方法是不適宜的.這種情況下,基于設備狀態的性能退化數據能夠提供可靠性評估的重要信息.在集成失效數據可靠性建模技術和基于設備狀態的振動信號特徵提取的基礎上,提齣設備狀態振動特徵的比例故障率模型可靠性評估的新方法.該方法可以把底層信息(如設備運行狀態特徵的方均根、峭度)與高層信息(如可靠性統計學)之間建立聯繫,適閤設備運行可靠性參數的估計,併能夠提供有效的可靠性評估,為設備以可靠性為中心的基于狀態的預防維脩提供技術支持.通過在鐵路機車輪對軸承上的應用實例說明該方法的閤理性和有效性.
기우개솔통계적전통가고성평고방법일반의뢰우실효수명수거.단실효수명수거수요통과수명시험화가속수명시험획취,대우대량적실시공작설비채용저충방법시불괄의적.저충정황하,기우설비상태적성능퇴화수거능구제공가고성평고적중요신식.재집성실효수거가고성건모기술화기우설비상태적진동신호특정제취적기출상,제출설비상태진동특정적비례고장솔모형가고성평고적신방법.해방법가이파저층신식(여설비운행상태특정적방균근、초도)여고층신식(여가고성통계학)지간건립련계,괄합설비운행가고성삼수적고계,병능구제공유효적가고성평고,위설비이가고성위중심적기우상태적예방유수제공기술지지.통과재철로궤차륜대축승상적응용실례설명해방법적합이성화유효성.
The traditional reliability assessment methods based on probability statistics depend on failure lifetime data which have to be obtained through life test and accelerated life test. It is not suitable to utilize this method for the real-time operating equipment. In such a case, the performance degradation data based on equipment condition can provide useful information about the reliability assessment for the equipment. By integrating traditional reliability modeling techniques with vibration signal feature extraction of equipment condition, a new method of reliability assessment based on equipment condition vibration feature by using proportional hazards model has been is proposed for the first time. This method can establish relationship between low-level information (such as condition parameters) and high-level information (like reliability statistics) to build relation. It is suitable for estimating reliability parameter of the equipment operation, and providing effective reliability assessment. Thereby providing technical support for the preventive maintenance of equipment based on condition with reliability as center. A practice example of locomotive wheel set bearing is given to demonstrate the rationality and effectiveness of this method.