期刊文献+

应用高阶时频分析方法诊断汽油机故障 被引量:3

Fault Diagnosis in Gasoline Engine Using Higher-Order Time-Frequency Distribution
在线阅读 下载PDF
导出
摘要 高阶时频分布是高阶统计量与时频分布相结合的产物,适合于分析具有非平稳、非线性特点的汽油机信号。引入高阶时频分布,采用二阶、三阶、四阶矩谱,也称Wigner谱、Wigner双谱、Wigner三谱对一仿真信号进行分析对比发现:在多分量信号的识别上,应用CWD滤波后的Wigner三谱是1种较好的分析工具。将该方法应用于汽油机故障诊断的结果表明:谱的切片图能清晰分辨汽油机不同磨损状态下的故障信号,较好地实现了故障诊断目的。 Higher-order time-frequency distribution (HOTFD) is the product which is combined by higher-order statistics and time-frequency distribution, it is suitable for analyzing non-stationary and non-linear signals. According to signal characteristics of gasoline engine, HOTFD was introdued, including the second-order,third-order,the four-order moment spectrum, which is also called Wigner spectrum, Wigner bispectrum,. Wigner trispectrum. The analysis for a simulated signal indicates that the Wigner Trispectrum with Choi Williams filter (SWTCWD) is a better analyzing tool for multi-component signals. The method was applied to gasoline engine fault diagnosis, the results show that SWTCWD can clearly distinguish fault signals of different gasoline engine with different wear state, so that it can better diagnose the engine fault.
作者 贾继德
出处 《内燃机工程》 EI CAS CSCD 北大核心 2009年第1期80-83,共4页 Chinese Internal Combustion Engine Engineering
关键词 内燃机 汽油机 故障诊断 Wigner谱 高阶时频分布 IC engine gasoline engine fault diagnosis Wigner distribtion higher-order time-frequency distribtion
  • 相关文献

参考文献7

  • 1贾继德,陈容刚,邱峰,陈剑.内燃机故障信号特性分析及诊断策略[J].农业机械学报,2005,36(12):39-42. 被引量:8
  • 2Cohen L. Time-frequency distribution-a review[J]. Proceedings of the IEEE,1989,77(7):941-981.
  • 3Gerr N L. Introducing a third-order Wigner distribution [J].Proceedings of the IEEE, 1988,3 : 290-92.
  • 4Swami A. Higher-order Wigner distributions[C]. Proc. SPIE- 92, Session on Higher-Order and Time-Varying Spectral Analysis, San Diego, CA,1992,1770:290-301.
  • 5Fonollosa J R. Nikias C L. Analysis of finite-energy signals using higher-order moments- and spectra-based time-frequency distributions[J]. Signal Processing, 1994,36:315-28.
  • 6Choi, H. Williams W J. Improved time-frequency representation of multicompomnet signals using exponential kernels[J]. IEEE Transactions. ASSP, 1989,37(6) :862-871.
  • 7贾继德,孔凡让,李志远,姜斯平.基于时频分析的内燃机曲轴轴承磨损故障的诊断研究[J].中国科学技术大学学报,2003,33(6):709-717. 被引量:13

二级参考文献11

共引文献19

同被引文献72

引证文献3

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部