NDLI: Statistical approach to establish failure behaviour on incomplete asset lifetime data

Content Provider	IEEE Xplore Digital Library
Author	Mehairjan, R.P.Y. Djairam, D. Qikai Zhuang Smit, J.J. van Voorden, A.M.
Copyright Year	2012
Description	Author affiliation: High Voltage Technology & Asset Management, Delft University of Technology, Delft, the Netherlands (Mehairjan, R.P.Y.; Djairam, D.; Qikai Zhuang; Smit, J.J.) \|\| Stedin B.V., Rotterdam, the Netherlands (van Voorden, A.M.)
Abstract	Asset failures, that needs to be managed, has an uncertain characteristic and analysis of uncertainty is essential to Asset Management (AM). Forecasting the technical performance of assets forms an integral part of strategic and operational activities within AM. To establish the failure behaviour of assets requires a significant degree of reliable asset information, which, in many practical cases, is not sufficiently rich or available to provide a basis for straightforward decision-making. In this paper a practical and systematic statistical methodology is used for dealing with incomplete asset lifetime data. The method described in this paper is based on a statistical parametric method and is applied with the aim of obtaining an indicator of the future failure expectancy with a certain confidence interval. On the whole, the paper concludes that, even though input data was either missing or incomplete, it is in certain cases possible to develop sensible probability models. These models take into account uncertainty and ultimately can be applied to facilitate the asset manager in AM decision-making. In addition to applying statistical methods, this contribution highlights the vital role of engineering and expert knowledge in interpreting the statistical results.
Starting Page	517
Ending Page	520
File Size	646748
Page Count	4
File Format	PDF
ISBN	9781467310192
e-ISBN	9781467310208
DOI	10.1109/CMD.2012.6416193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-23
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power cables Statistical analysis Sociology statistical life data analysis asset management Cable insulation failure rate Asset management Joints
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Statistical approach in power cables diagnostic data analysis

Review of recent research towards power cable life cycle management

Failure analysis of in service failed resin cable joints by means of a statistical approach

Assessing the value of distribution infrastructure replacement

On-site diagnosis of transmission power cables

Failure analysis of three 230kV XLPE cables

Analysis of Field Failure Data on HMWPE- and XLPE-Insulated High-Voltage Distribution Cable

Failure analysis of cable accessories using Finite Element Method Magnetics (FEMM) software

Statistical approach to identify the discharge source in MV cables and accessories

Statistical approach to establish failure behaviour on incomplete asset lifetime data

Similar Documents

Statistical approach in power cables diagnostic data analysis

Review of recent research towards power cable life cycle management

Failure analysis of in service failed resin cable joints by means of a statistical approach

Assessing the value of distribution infrastructure replacement

On-site diagnosis of transmission power cables

Failure analysis of three 230kV XLPE cables

Analysis of Field Failure Data on HMWPE- and XLPE-Insulated High-Voltage Distribution Cable

Failure analysis of cable accessories using Finite Element Method Magnetics (FEMM) software

Statistical approach to identify the discharge source in MV cables and accessories

Statistical approach to establish failure behaviour on incomplete asset lifetime data