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胎压监测信号的误差处理及共振频率提取方法
引用本文:张玘,刘国福,刘波,谢秀芬.胎压监测信号的误差处理及共振频率提取方法[J].测试技术学报,2009,23(5):429-434.
作者姓名:张玘  刘国福  刘波  谢秀芬
作者单位:国防科技大学机电工程与自动化学院,湖南,长沙,410073
摘    要:采用频率响应法实现间接式轮胎压力监测,提出了基于弹性BP神经网络分析轮速传感器误差及实现误差匹配的方法,并根据轮速信号的特点构造了BP神经网络,实现了对轮速信号的修正;针对轮速信号非均匀采样插值算法复杂、插值过程耗时较长的问题,提出了应用非均匀采样小波变换直接对BP神经网络修正后的轮速数据进行处理并提取共振频率的方法,并利用道路实验采集的不同胎压状态下的轮速信号验证了算法的有效性和可行性.

关 键 词:胎压监测  轮速传感器误差  弹性BP神经网络  非均匀采样小波变换  共振频率

Error Processing of Tire Pressure Monitoring Signal and Method for Estimation of Resonance Frequency
ZHANG Qi,LIU Guofu,LIU Bo,XIE Xiufen.Error Processing of Tire Pressure Monitoring Signal and Method for Estimation of Resonance Frequency[J].Journal of Test and Measurement Techol,2009,23(5):429-434.
Authors:ZHANG Qi  LIU Guofu  LIU Bo  XIE Xiufen
Affiliation:ZHANG Qi,LIU Guofu,LIU Bo,XIE Xiufen (College of Mechatronics Engineering , Automation,National University of Defense Technology,Changsha 410073,China)
Abstract:Frequency estimation was used to monitor the tire pressure.The method of attenuating the wheel speed sensor errors and realizing the error matching,based on resilient back-propagation neural network,was presented.The corresponding neural network was designed and the wheel speed correction was realized.To lessen the complexity of the non-uniform sampling interpolation algorithm and shorten the time spent on the interpolation process,non-uniform sampling wavelet transformation was introduced to deal with the ...
Keywords:tire pressure monitoring  wheel speed sensor errors  Resilient BP Neural Network  non-uniform sampling wavelet transformation  resonance frequency  
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