摘要
研究目的:利用非平稳信号处理方法——小波分析方法分析局部轨道不平顺特殊波型、轨道不平顺病害的识别以及轨道不平顺功率谱分析等,以深化对轨道不平顺特性的认识。研究结果:利用小波分析方法可以较好地辨识轨道随机性不平顺中隐含的有规律的波形,如正弦、三角形波等;利用小波分析方法可以较好地对轨道局部发生的高频病害进行检测;通过小波分解,可以识别不同波长范围内突出的不平顺(特征不平顺),为进而提取这些不平顺做深入研究提供了便利。由此可见,利用小波分析理论从时频角度分析轨道不平顺,是一条保障铁路安全运营的新技术途径。
Research purposes： The non - stationary signal process method - wavelet method can be used to analyze the waveforms of local track irregularities and power spectrum density of track irregularities and identify the ill track recognition for the purpose of learning more about the track irregularity. Research results：The analytical results show that the regular waveforms in track random irregularities, such as sine wave and triangular wave, could be identified with wavelet method. The high frequency defects on local rail could be checked better with wavelet method. Thought wavelet, the obvious track irregularities （characteristic track irregularities） in every range wavelength could be recognized, which is helpful for making more analysis of these track irregularities. So, analysis of track irregularities from the time - frequency point of view with wavelets is a new technical method for guaranteeing the safe running of railway.
出处
《铁道工程学报》
EI
北大核心
2008年第1期57-61,71,共6页
Journal of Railway Engineering Society
基金
国家自然科学基金项目(50538030)
关键词
轨道不平顺
小波
波形识别
轨道病害识别
功率谱密度
track irregularity
wavelet
identification of waveforms
ill track recognition
power spectrum density
