节点文献
电力电缆预知性维护技术研究
Study of the Predictive Wire & Cable Maintenance Technology
【作者】 杨扬；
【导师】 王昌明；
【作者基本信息】 西安电子科技大学 ， 系统工程， 2009， 硕士
【摘要】 电力电缆预知性维护技术，就是解决如何在电缆发生故障前，检测并预测电缆潜在故障、评估电缆寿命，做到预知性维护的一种技术。在现实中，传输电缆自身的性质、组成的结构、故障检测方法本身的局限性以及人为等因素会影响故障信息的获取，从而影响了预知性维护的有效性。因此如何在具有复杂情况下的电缆中正确的提取故障信息，成为了实现电力电缆预知性维护的前提。本文在深入的研究了脉冲雷达法理论依据以及大量实际电缆测试的基础上，主要针对电缆接点对故障检测的影响，提出了一种面向实际应用的电缆故障信息提取方法——波形类比法。依照实现该方法的技术要求，本文完成了电力电缆故障诊断平台的硬件软件设计。通过使用该平台对所搭建各种具有较复杂结构的电缆模型进行故障信息提取，验证了波形类比法的实用效果。根据实际测试的结果，本文所提出的波形类比法，能有效的排除电缆接点对故障信息提取的干扰。对于具有分支结构的传输电缆，该方法同样适用，并能有效的判断出故障的类型和所在的位置。下一步的工作在于：1.波形类比法应用于多分支结构电缆故障测试的实测验证；2.高阻故障检测时故障信息的提取；3.潜在电缆故障预测等问题。
【Abstract】 The predictive wire & cable maintenance technology is used to solve the issue that how to detect and predict the potential fault, assess the cable life expectancy, achieve predictability maintenance before the cable dose break down. In reality, the structure and material of cable, limitation of fault diagnose method and human factors will affect the effectiveness of predictive maintenance.In accordance with the characteristics and requirements of cable fault information access method, in view of time domain reflectometry method, the junction of cable that influence diagnosis result is studied, and then, waveform recognition method is brought forward.In accordance with the characteristics and requirements of cable fault information access method, the wire & cable fault diagnosis device is designed. By using this device to extract the fault information of the cable model that has multiple structure., the practical effect of waveform recognition method is verified.Based on the actual test results, it can be proved that the waveform recognition method which is brought in this paper could effectively rule out the junction of cable that interfere fault diagnosis. For the transmission cable which has branch structure, this method is also applicable and can judge fault type and location effectively. The next work lies in: 1. actual confirmation of the waveform recognition method that applies in the multi-branched structure cable fault diagnosis; 2. fault information extraction in the high resistance fault diagnosis; 3. potential cable fault prediction and so on.