...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE sensors journal >Analysis of Time-Domain Reflectometry Combined With Wavelet Transform for Fault Detection in Aircraft Shielded Cables
【24h】

Analysis of Time-Domain Reflectometry Combined With Wavelet Transform for Fault Detection in Aircraft Shielded Cables

机译：时域反射仪结合小波变换的飞机屏蔽电缆故障检测分析

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The detection of faults in aircraft wiring systems is always a significant research. Although several reflectometry methods have been proved to be effective technologies for locating open and short circuits on wires, they do not assess well the faults, such as abrasions and frays. This paper analyzes the feasibility of a combination of the time-domain reflectometry (TDR) and wavelet method for detecting the faults on aircraft lossy shielded coaxial cables. A mathematic model is presented for simulating the propagation of wave in the cable with the fault based on TDR. A step wave generator with a steep rising edge is constructed and implemented to detect the faults. The wavelet method is used to eliminate the noise as well as to locate the small reflections in the TDR wave. Results show that the shortened rise time of step wave has a positive effect on the voltage reflection coefficients of the fault, which is conducive to detecting the faults. The recognition capability of the faults can be improved through de-noising and singularity detection by the wavelet method. But as the attenuation and the extension of the rise time of the wave, the method introduced cannot meet completely all the requirements of fault diagnosis. In particular, it is almost impossible to detect the small fault.
机译：飞机布线系统中的故障检测始终是一项重要的研究。尽管几种反射法已被证明是定位电线开路和短路的有效技术，但它们不能很好地评估故障，例如擦伤和磨损。本文分析了时域反射仪（TDR）和小波方法相结合检测飞机有损屏蔽同轴电缆故障的可行性。提出了一种数学模型，用于基于TDR模拟带有故障的电缆中波的传播。构造并实现了具有陡峭上升沿的步进波发生器，以检测故障。小波方法用于消除噪声以及定位TDR波中的小反射。结果表明，缩短的阶梯波上升时间对故障的电压反射系数有积极的影响，有利于故障的检测。通过小波消噪和奇异性检测可以提高故障的识别能力。但是由于波的上升时间的衰减和延长，引入的方法不能完全满足故障诊断的所有要求。特别地，几乎不可能检测到小故障。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号