Analysis of significant factors on cable failure using the Cox proportional hazard model

Zeyang Tang, Chengke Zhou, Wei Jiang, Wenjun Zhou, Xiaoping Jing, Jianhui Yu, Babakalli Alkali, Bojie Sheng

    Research output: Contribution to journalArticle

    151 Downloads (Pure)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)951-957
    Number of pages7
    JournalIEEE Transactions on Power Delivery
    Volume29
    Issue number2
    Early online date11 Nov 2013
    DOIs
    Publication statusPublished - Mar 2014

    Keywords

    • power cable
    • failure analysis
    • COX proportional hazard model
    • statistical model
    • covariate

    Fingerprint Dive into the research topics of 'Analysis of significant factors on cable failure using the Cox proportional hazard model'. Together they form a unique fingerprint.

  • Cite this