Tang, Zeyang and Zhou, Chengke and Jiang, Wei and Zhou, Wenjun and Jing, Xiaoping and Yu, Jianhui and Alkali, Babakalli and Sheng, Bojie (2014) Analysis of significant factors on cable failure using the Cox proportional hazard model. IEEE Transactions on Power Delivery, 29 (2). 951–957. ISSN 0885-8977Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Keywords:||Weibull distribution, power cables, communication cables, cable failure, early-failure data analysis, Cox proportional hazard model, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||21 Jan 2015 15:13|
|Last modified:||24 Mar 2017 08:51|