摘要
选择合适的随机信号功率谱估计算法,并确定平顺性数据处理及评价程序,用该程序对汽车平顺性试验数据进行处理与评价.在对自相关函数法和周期图法进行比较的基础上,重点研究了周期图法的改进方法—平滑平均法.对模拟信号进行仿真,结果表明,"平滑平均周期图法"在减少泄漏、抗干扰方面的性能有显著的提高.基于此算法确定平顺性数据处理及评价程序,用该程序对某越野车随机输入行驶试验数据进行处理,取得了比较理想的效果.
The ride comfort data processing and appraising progrmn, which can be used to process and appraise the automobile random input running test data, is programmed by choosing an appropriate random signal power spectrum estimate algorithm. Based on comparing self-relevance function to periodogram method of power spectrum estimate, the improved methods of periodogram--smooth and average are emphatically researched in this paper. The result shows that the methods have a remarkable improvement in reducing leakage and anti-interference by the processing of a simulated signal. The program, which is programmed according to this algorithm, is applied in processing the random input running test data of an offroad vehicle, and the result proves that it can get a comparative ideal effect
出处
《重庆工学院学报（自然科学版）》
2008年第3期92-96,共5页
Journal of Chongqing Institute of Technology
基金
国防工业预研课题资助:重庆市重大科技攻关项目(CSTC,2007AA6009)
关键词
行驶平顺性
功率谱
算法
ride comfort
power spectrum
algorithm
