Impact Assessment of Remote Control and Preventive Maintenance on the Failure Rate of a Disconnector Population

被引：16

作者：

Jurgensen, Jan Henning ^{[1
]}

Brodersson, Anna Lilly ^{[2
]}

Nordstrom, Lars ^{[1
]}

Hilber, Patrik ^{[1
]}

机构：

[1] KTH Royal Inst Technol, Sch Elect Engn, S-11428 Stockholm, Sweden

[2] Vattenfall Eldistribut AB, SE-16992 Stockholm, Sweden

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2018年 / 33卷 / 04期

关键词：

Asset management; control equipment reliability; monitoring; diagnostic measures; failure rate; failure rate estimation; preventive maintenance; MISSING COVARIATE DATA; DISTRIBUTION-SYSTEMS; IMPUTATION; MODEL;

D O I：

10.1109/TPWRD.2017.2710482

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the impact of different explanatory variables, such as remote control availability and conducted preventive maintenance, among others, on failure statistics of a disconnector population in Sweden using the proportional hazard model. To do so, 2191 work orders were analyzed, which included 1626 disconnectors and 278 major failures. Here, the results show that the remote control availability for disconnectors-an example of such smart-grid technology-has a negative effect on the failure rate, whereas preventive maintenance has a positive impact. It is also shown that the disconnector age is not significant and that certain disconnector types have a significant and positive correlation toward failures when compared to other disconnector types. The results increase the understanding of disconnector failures to improve asset management.

引用

页码：1501 / 1509

页数：9

共 41 条

[31] Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study [J].

Marshall, Andrea ;

Altman, Douglas G. ;

Royston, Patrick ;

Holder, Roger L. .

BMC MEDICAL RESEARCH METHODOLOGY, 2010, 10

[32] Bayesian estimation of overhead lines failure rate in electrical distribution systems [J].

Moradkhani, Amin ;

Haghifam, Mahmoud R. ;

Mohammadzadeh, Mohsen .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 56 :220-227

[33] Choice of time scale and its effect on significance of predictors in longitudinal studies [J].

Pencina, Michael J. ;

Larson, Martin G. ;

D'Agostino, Ralph B. .

STATISTICS IN MEDICINE, 2007, 26 (06) :1343-1359

[34]

Raats M. M., 1991, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D

[35] Remaining useful life estimation - A review on the statistical data driven approaches [J].

Si, Xiao-Sheng ;

Wang, Wenbin ;

Hu, Chang-Hua ;

Zhou, Dong-Hua .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 213 (01) :1-14

[36] Prognostic modelling options for remaining useful life estimation by industry [J].

Sikorska, J. Z. ;

Hodkiewicz, M. ;

Ma, L. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (05) :1803-1836

[37] Analysis of Significant Factors on Cable Failure Using the Cox Proportional Hazard Model [J].

Tang, Zeyang ;

Zhou, Chengke ;

Jiang, Wei ;

Zhou, Wenjun ;

Jing, Xiaoping ;

Yu, Jianhui ;

Alkali, Babakalli ;

Sheng, Bojie .

IEEE TRANSACTIONS ON POWER DELIVERY, 2014, 29 (02) :951-957

[38]

Van Buuren S, 1999, STAT MED, V18, P681, DOI 10.1002/(SICI)1097-0258(19990330)18:6<681::AID-SIM71>3.3.CO

[39]

2-I

[40]

Willis H. L., 2012, SUBSTATION ASSET MAN

← 1 2 3 4 5 →