弱混沌信号实现大型运载工具内部电缆故障在线检测

Owing to the unique working conditions（vibration, moist and large temperature difference, and so on）, wire and cable faults can be easily produced in large delivery vehicles such as aircrafts, rail cars. Wire faults in large delivery vehicles even cause significant personal injuries or deaths and social instability. However, those existing techniques for diagnosing and locating wire faults are limited since the multi-wire banding，hidden wiring and intermittent faults in large delivery vehicles. Therefore, it is of great practical to explore and develop a new on line detection and location technology for wire and cable fault.. Our project proposes an online monitoring method which utilizes continuous, noise-like and low-power chaotic signals as probe signals to locate the faults on wires based on correlation method. The styles of faults are recognized by the polarity and character of the correlation peak. In this project, we will study how to generate the chaotic signal with flat spectrum. Through analyzing the corresponding response feature information of reflected broadband chaotic signals, we can complete a real-time, high resolution, highly sensitive, weak interference online monitoring for wire faults including short circuit, open circuit, and intermittent arcs.. The realization of this project can enhance the detection capability of our country in monitoring wire and cable faults within large delivery vehicles, and provide a technology support for the safe operation of the large delivery vehicles. .

大型运载工具（飞机、高铁等）因特殊的工作环境（振动、潮湿、温差大等），易造成电缆故障，引发重大人员伤亡和社会不稳定。大型运载工具中电缆多短线捆扎，隐藏布线且间歇性故障比例高，是现有电缆故障检测技术无法实现在线检测的主要原因。探索与发展一种适合大型运载工具内部特殊环境和应用要求的电缆故障在线检测技术具有现实意义。. 本项目提出利用非线性电路产生的连续、类噪声、低功率混沌信号作为探测信号，通过相关法实现电缆故障定位；依据相关信号的信号特征与极性来判断故障类型。研究具有平滑功率谱特征的混沌信号优化产生；研究不同故障类型(断路、短路、阻抗失配、电弧等)对混沌信号的响应特性；研究电弧等间歇性故障的在线检测。最终发展一种高精度，盲区小，可在线检测间歇性电缆故障的新型检测方法。. 本项目的实现，将有助于提升对大型运载工具内部线缆故障的检测能力，为保障大型运载工具的安全运行提供安全保障手段。

大型运载工具（飞机、高铁等）因特殊的工作环境（振动、潮湿、温差大等），易造成电缆故障，引发重大人员伤亡和社会不稳定。大型运载工具中电缆多短线捆扎，隐藏布线且间歇性故障比例高，是现有电缆故障检测技术无法实现在线检测的主要原因。探索与发展一种适合大型运载工具内部特殊环境和应用要求的电缆故障在线检测技术具有现实意义。. 本项目利用非线性电路产生的连续、类噪声、低功率混沌信号作为探测信号，通过相关法实现电缆故障定位；依据相关信号的信号特征与极性来判断故障类型,最终发展了一种高精度，盲区小，可在线检测间歇性电缆故障的新型检测方法。. 围绕项目的关键核心问题，设计并实现了布尔混沌和混沌脉冲位置调制两种宽带微波信号源；基于混沌时域反射原理，实验实现了对各种不同类型电缆的断路、短路、阻抗失配、电弧等各种故障的高精度检测和定位；分析了混沌测试信号和在线传输信号之间的相互影响，实验证明了利用弱混沌信号实现电缆故障在线检测的可行性；将实验系统集成化，设计研制了电缆故障测试仪样机系统；将混沌时域反射和多点分布式监测方法相结合，对多分支复杂拓扑结构电缆网络线路故障定位进行了初步探索。. 项目执行过程中，项目组成员发表期刊论文17篇，申请和授权国家发明专利6项，授权软件著作权4项，协助培养博士研究生1名，培养硕士研究生4名。