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

33 Citations (Scopus)

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.
LanguageEnglish
Pages951–957
Number of pages7
JournalIEEE Transactions on Power Delivery
Volume29
Issue number2
Early online date11 Nov 2013
DOIs
Publication statusPublished - Apr 2014

Fingerprint

Hazards
Cables
Statistical tests
Weibull distribution
Electric potential
Electricity
Industry

Keywords

  • Weibull distribution
  • power cables
  • communication cables
  • cable failure
  • early-failure data analysis
  • Cox proportional hazard model

Cite this

Tang, Zeyang ; Zhou, Chengke ; Jiang, Wei ; Zhou, Wenjun ; Jing, Xiaoping ; Yu, Jianhui ; Alkali, Babakalli ; Sheng, Bojie. / Analysis of significant factors on cable failure using the Cox proportional hazard model. In: IEEE Transactions on Power Delivery. 2014 ; Vol. 29, No. 2. pp. 951–957.
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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.",
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Tang, Z, Zhou, C, Jiang, W, Zhou, W, Jing, X, Yu, J, Alkali, B & Sheng, B 2014, 'Analysis of significant factors on cable failure using the Cox proportional hazard model' IEEE Transactions on Power Delivery, vol. 29, no. 2, pp. 951–957. https://doi.org/10.1109/TPWRD.2013.2287025

Analysis of significant factors on cable failure using the Cox proportional hazard model. / Tang, Zeyang; Zhou, Chengke; Jiang, Wei; Zhou, Wenjun; Jing, Xiaoping; Yu, Jianhui; Alkali, Babakalli; Sheng, Bojie.

In: IEEE Transactions on Power Delivery, Vol. 29, No. 2, 04.2014, p. 951–957.

Research output: Contribution to journalArticle

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