摘要
通过对摩擦学系统的能量流监测,结合状态识别方法的分析,提出了基于磨损与振动能量损耗监测方法,建立了能量损耗的机械设备状态监测框架模型。分析指出,磨损与振动都是能量耗损行为,且二者的相关性采用齿轮疲劳试验证实。研究表明,基于齿轮磨损的光谱分析的元素相对质量分数的累积相对标度和振动信号时域的均方根值的累积相对标度具有很好的相关性,这表明齿轮磨损和振动具有很好的相关性,因此摩擦学系统的状态识别与故障诊断采用能量损耗监测的方法是可行的。
The method of energy loss monitoring was proposed based on wear and vibration,block diagram model of energy loss monitoring was set up for mechanical equipment through analyzing energy flow monitoring and the methods of state recognition of tribological system.Analysis indicates it is inevitable that wear and vibration consume energy.The correlation of wear and vibration was testified by using the fatigue testing of gears.Result shows that the wear cumulative relative scale of element relative mass friction based on spectroscopic analysis has good correlation with the vibration cumulative relative scale of root mean square of time domain signal of gear wear testing.So it shows that wear and vibration of gear have good correlation,and the method of energy loss monitoring can be used for the state recognition and fault diagnosis of tribological system.
出处
《润滑与密封》
CAS
CSCD
北大核心
2010年第2期27-31,共5页
Lubrication Engineering
基金
广东省汽车工程重点研究实验室项目(2007A03013)
关键词
摩擦学系统
状态识别
能耗监测
磨损与振动
tribological system
state recognition
energy loss monitoring
wear and vibration
