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作 者:张桂才[1] 轩建平[1] 史铁林[1] 杨叔子[1]
机构地区:[1]华中理工大学机械科学与工程学院
出 处:《华中理工大学学报》1998年第12期8-9,共2页Journal of Huazhong University of Science and Technology
基 金:国家"九.五"攀登计划预选资助项目
摘 要:提出一种基于小波包的转子轴心轨迹提纯方法.将从转子上测得的互相垂直的两个方向上的原始时域信号用小波包分解后,采用逆Gray编码对分解结果进行整序处理,得到按频率大小由低到高排列的频段序列,再根据对不同类型转子故障特征的先验知识,分别选取若干不同的频段进行重构.利用重构数据合成的轴心轨迹,剔除了噪声的干扰,能更清晰地表现转子故障的特征.A new method of rotor orbit purification is proposed based on wavelet packets. The signals picked up from rotors are decomposed in two mutually perpendicular directions, the signals are reconstructed using only several useful frequency pieces, and the others discarded. Before the signals are reconstructed, the results of decomposition are rearranged according to the inverse Gray code of the indices of results, and for frequency ordered by wavelet packets are obtained. As the noise is eliminated, the rotor orbit combined the reconstructed signals in two mutually perpendicular directions can present the features of rotor faults more clearly. Two examples of the orbit purification of faulty rotors are given via wavelet packets decomposition and reconstruction.
关 键 词:故障诊断 转子 轴心轨迹 小波包 提纯 回转机械
分 类 号:TH136[机械工程—机械制造及自动化] TH17
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