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Analysis of Significant Factors on Cable Failure Using the Cox Proportional Hazard Model

机译:使用Cox比例风险模型分析电缆故障的重要因素

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摘要

This paper proposes the use of the Cox proportional hazard model (Cox PHM), a statistical model, for the analysis of early-failure data associated with power cables. The Cox PHM analyses simultaneously a set of covariates and identifies those which have significant effects on the cable failures. In order to demonstrate the appropriateness of the model, relevant historical failure data related to medium voltage (MV, rated at 10 kV) distribution cables and High Voltage (HV, 110 kV and 220 kV) transmission cables have been collected from a regional electricity company in China. Results prove that the model is more robust than the Weibull distribution, in that failure data does not have to be homogeneous. Results also demonstrate that the method can single out a case of poor manufacturing quality with a particular cable joint provider by using a statistical hypothesis test. The proposed approach can potentially help to resolve any legal dispute that may arise between a manufacturer and a network operator, in addition to providing guidance for improving future practice in cable procurement, design, installations and maintenance.
机译:本文提出使用统计模型Cox比例风险模型(Cox PHM)来分析与电缆相关的早期故障数据。 Cox PHM同时分析一组协变量,并确定那些对电缆故障有重大影响的协变量。为了证明该模型的适用性,已从一家地区电力公司收集了与中压(MV,额定值为10 kV)配电电缆和高压(HV,110 kV和220 kV)输电电缆相关的历史故障数据在中国。结果证明,该模型比Weibull分布更健壮,因为故障数据不必是同质的。结果还表明,该方法可以通过使用统计假设检验来找出特定电缆接头供应商制造质量较差的情况。除了提供指导以改进电缆采购,设计,安装和维护的未来实践之外,所提出的方法还可能有助于解决制造商与网络运营商之间可能发生的任何法律纠纷。

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