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

Wang, Qi; He, Zhengyou; Lin, Sheng; Liu, Yilu

doi:10.1109/TPWRD.2017.2762367

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 »« less

Authors:

Wang, Qi ^[1];

^[1]; Lin, Sheng ^[1]; Liu, Yilu ^[2]

Southwest Jiaotong Univ., Sichuan (China)
Univ. of Tennessee, Knoxville, TN (United States)

Publication Date:: Thu Oct 12 00:00:00 EDT 2017

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.

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                    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.  https://doi.org/10.1109/TPWRD.2017.2762367

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                    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.  https://doi.org/10.1109/TPWRD.2017.2762367.  https://www.osti.gov/servlets/purl/1523756.

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@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         = {Thu Oct 12 00:00:00 EDT 2017},

  month        = {Thu Oct 12 00:00:00 EDT 2017}

}

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https://doi.org/10.1109/TPWRD.2017.2762367

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Figures / Tables:

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

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