skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Availability and Maintenance Modeling for GIS Equipment Served in High-Speed Railway Under Incomplete Maintenance

Abstract

Gas-insulated substation (GIS) equipment served in the traction power-supply system (TPSS) of the high-speed railway (HSR) suffers from extremely severe traction load conditions during its lifetime. In this paper, three major issues related to the actual field maintenance operations of GIS equipment in TPSS are addressed: 1) s-dependent degradation and shock process; 2) both spatial and temporal failure thresholds of shocks; and 3) incomplete maintenance (i.e., nonignorable maintenance time). To model the deterioration and failure process of GIS equipment, the hard failure model and the soft failure model are proposed. The characteristic function is utilized to bridge the s-dependent degradation and shock process in the soft failure model, while the extreme shock model (with spatial threshold) and δ-shock model (with temporal threshold) are introduced in the hard failure model. Furthermore, the index of availability, which combines both reliability and maintainability, is derived under the incomplete maintenance consideration. Based on the balance of availability and maintenance cost, the maintenance strategy with periodic inspections for GIS equipment in the long-run time span is developed. In conclusion, optimizations of three decision parameters (i.e., inspection period, extreme shock threshold, and δ-shock threshold) are implemented to achieve the best performance (with high availability and lowmore » maintenance cost) of the maintenance strategy.« less

Authors:
 [1]; ORCiD logo [1];  [1];  [2]
  1. Southwest Jiaotong Univ., Sichuan (China)
  2. Univ. of Tennessee, Knoxville, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1523756
Grant/Contract Number:  
[AC05-00OR22725]
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Power Delivery
Additional Journal Information:
[ Journal Volume: 33; Journal Issue: 5]; Journal ID: ISSN 0885-8977
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; high-speed railway (HSR); traction power supply system (TPSS); gas-insulated substation (GIS); failure model; availability; incomplete maintenance; maintenance strategy

Citation Formats

Wang, Qi, He, Zhengyou, Lin, Sheng, and Liu, Yilu. Availability and Maintenance Modeling for GIS Equipment Served in High-Speed Railway Under Incomplete Maintenance. United States: N. p., 2017. Web. doi:10.1109/TPWRD.2017.2762367.
Wang, Qi, He, Zhengyou, Lin, Sheng, & Liu, Yilu. Availability and Maintenance Modeling for GIS Equipment Served in High-Speed Railway Under Incomplete Maintenance. United States. doi:10.1109/TPWRD.2017.2762367.
Wang, Qi, He, Zhengyou, Lin, Sheng, and Liu, Yilu. Thu . "Availability and Maintenance Modeling for GIS Equipment Served in High-Speed Railway Under Incomplete Maintenance". United States. doi:10.1109/TPWRD.2017.2762367. https://www.osti.gov/servlets/purl/1523756.
@article{osti_1523756,
title = {Availability and Maintenance Modeling for GIS Equipment Served in High-Speed Railway Under Incomplete Maintenance},
author = {Wang, Qi and He, Zhengyou and Lin, Sheng and Liu, Yilu},
abstractNote = {Gas-insulated substation (GIS) equipment served in the traction power-supply system (TPSS) of the high-speed railway (HSR) suffers from extremely severe traction load conditions during its lifetime. In this paper, three major issues related to the actual field maintenance operations of GIS equipment in TPSS are addressed: 1) s-dependent degradation and shock process; 2) both spatial and temporal failure thresholds of shocks; and 3) incomplete maintenance (i.e., nonignorable maintenance time). To model the deterioration and failure process of GIS equipment, the hard failure model and the soft failure model are proposed. The characteristic function is utilized to bridge the s-dependent degradation and shock process in the soft failure model, while the extreme shock model (with spatial threshold) and δ-shock model (with temporal threshold) are introduced in the hard failure model. Furthermore, the index of availability, which combines both reliability and maintainability, is derived under the incomplete maintenance consideration. Based on the balance of availability and maintenance cost, the maintenance strategy with periodic inspections for GIS equipment in the long-run time span is developed. In conclusion, optimizations of three decision parameters (i.e., inspection period, extreme shock threshold, and δ-shock threshold) are implemented to achieve the best performance (with high availability and low maintenance cost) of the maintenance strategy.},
doi = {10.1109/TPWRD.2017.2762367},
journal = {IEEE Transactions on Power Delivery},
number = [5],
volume = [33],
place = {United States},
year = {2017},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Fig. 1 Fig. 1: Shapes of the average availability per unit maintenance cost under decision parameters {ΔT, H, δ}: (a) AC as a function of ΔT and H; (b) AC as a function of H and δ; (c) AC as a function of δ and ΔT

Save / Share:
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.