摘要
基于频谱分析的轴承故障诊断方法在恒定转速时具有较好效果,但在变转速工况下难以适用。提出一种基于漏磁和振动信号融合的方法实现变转速工况下电动机轴承的故障诊断,首先同步采集电动机漏磁和振动信号,通过漏磁信号分析估计电动机的转速及转角,随后对时域振动信号进行阶次分析实现轴承故障诊断。在变转速工况下针对轴承外圈故障和内圈故障的试验验证了该方法的有效性和准确性,并将算法移植到嵌入式系统上实现了电动机轴承的实时在线故障诊断。
The fault diagnosis methods for bearings based on spectrum analysis have good performances under constant speed conditions.However,it is difficult to be applied under variable speed conditions.A method based on fusion of flux leakage and vibration signals is proposed to realize the fault diagnosis of motor bearings under variable speed conditions.Firstly,the flux leakage and vibration signals are acquired synchronously.The rotational speed and angle of motor bearings are estimated by analyzing the flux leakage signals,and then the fault diagnosis for the bearings is realized by conducting the order analysis on vibration signals in time domain.The experiments on outer ring fault and inner ring fault of the bearings under variable speed conditions verify the effectiveness and accuracy of the method,and the algorithm is transplanted into an embedded system to realize the real-time online fault diagnosis for motor bearings.
作者
安康
王骁贤
陆思良
AN Kang;WANG Xiaoxian;LU Siliang(School of Electrical Engineering and Automation,Anhui University,Hefei 230601,China;Department of PrecisionMachinery and Precision Instrumentation,University of Science and Technology of China,Hefei 230027,China)
出处
《轴承》
北大核心
2022年第4期63-69,共7页
Bearing
基金
国家自然科学基金资助项目(52075002)。
关键词
滚动轴承
故障诊断
无刷直流电动机
嵌入式系统
滤波
rolling bearing
fault diagnosis
brushless direct current motor
embedded system
filtering
