节点文献
机车车轮踏面擦伤数据处理算法的研究
Research on locomotive wheel tread irregularities data processing algorithm
【摘要】 机车车轮踏面的擦伤现象,严重影响车辆的运行安全。介绍了一种机车车轮踏面擦伤检测系统的结构组成和工作原理。为了提高擦伤识别的效率,提出了一种在MATLAB环境下基于小波分析和模极大值法的机车车轮踏面擦伤数据处理算法。该算法对数据先进行小波处理,得到数据信号的细节系数和近似系数,再利用模极大值理论分析数据的奇异性,进而定位发生擦伤的数据点位置。经实验结果表明,该机车车轮踏面擦伤数据处理算法的效果明显,能够准确有效的判断擦伤情况。
【Abstract】 The phenomenon of locomotive wheel tread irregularities seriously affects the safety of vehicle operation.This paper introduce the constitute and working principle of a locomotive wheel tread detection system.In order to improve the efficiency of irregularity’s recognition,this paper presents an algorithm based on wavelet analysis and modulus maxima in the MATLAB environment.This algorithm use wavelet to analyze the data and get the approximate and detail coefficients of data signal,than we use the modulus maxima method to analyze the singularity of data and orientate the position of data point where have an tread irregularity further.The results of experiment indicate that the effect of this locomotive wheel tread irregularities processing algorithm is obviously,and it can accurately judge the tread irregularities.
【Key words】 tread irregularities; wavelet transform; modulus maxima method; singularity detection;
- 【文献出处】 电子测量技术 ,Electronic Measurement Technology , 编辑部邮箱 ,2015年05期
- 【分类号】U260.331.1;U269
- 【被引频次】9
- 【下载频次】102