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基于偏相干分析的轮胎六分力信号识别
引用本文:吴旭东,左曙光,杨宪武.基于偏相干分析的轮胎六分力信号识别[J].振动.测试与诊断,2011,31(6):685-689.
作者姓名:吴旭东  左曙光  杨宪武
作者单位:同济大学汽车学院 上海,201804
基金项目:国家自然科学基金资助项目(编号:50775162,50575163)
摘    要:由于轮胎多边形的磨损与胎面自激振动有很大的关系,故对问题轿车进行了实车车轮六分力试验,以找出其振动规律.因为测得的六分力信号成分非常复杂,所以将其信号中的侧向力信号作了重点分析,利用偏相干分析法,排除该信号中的其他干扰频率成分,并将其自激振动的频率与计算仿真中所得到的频率作了对比,验证了理论模型的正确性.

关 键 词:偏相干分析  信号识别  六分力试验  多边形磨损

Signal Identification in Six-Component Test on Tire Based on Partial Coherence Analysis
Wu Xudong,Zuo Shuguang,Yang Xianwu.Signal Identification in Six-Component Test on Tire Based on Partial Coherence Analysis[J].Journal of Vibration,Measurement & Diagnosis,2011,31(6):685-689.
Authors:Wu Xudong  Zuo Shuguang  Yang Xianwu
Affiliation:Wu Xudong,Zuo Shuguang,Yang Xianwu(College of Vehicle Engineering,Tongji University Shanghai,201804,China)
Abstract:Based on previous research,it is found that self-excited vibration of tread play the leading role in polygonal wear of tire,thus,in order to find out the law of vibration,the actual six-component test of tire in car is carried out.As measured six components contribute to the signal are complicated,the six lateral force signal is set as the focus of the object.According to partial coherence analysis,the interference compositions in the signal are excluded,then the frequency of self-excited vibration frequenc...
Keywords:partial coherence analysis signal identification six-component test polygonal wear  
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