Aging Reliability Model for Generation Adequacy

Manuel Alvarez Alvarado; Dilan Jayaweera

doi:10.1109/PMAPS.2018.8440529

Aging Reliability Model for Generation Adequacy

Manuel Alvarez Alvarado, Dilan Jayaweera

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

302 Downloads (Pure)

Abstract

As time passes through, components tend to be less reliable because they suffer a degradation produced by aging. Focusing on reliability assessment for generation adequacy, generator reliability model hardly considers this fact. This assumption produces an inaccurate reliability assessment. This paper proposes a novel mathematical formulation that considers aging effect and brings estimation for the degradation of the component. The method is derived from the concept of absorption Markov chain to model component's lifetime. The specific contribution of this work is to present a comprehensive reliability model for generation adequacy.

Original language	English
Title of host publication	Aging Reliability Model for Generation Adequacy
DOIs	https://doi.org/10.1109/PMAPS.2018.8440529
Publication status	Published - 24 Jun 2018
Event	PMAPS International Conference 2018 - USA, Idaho, United States Duration: 24 Jun 2018 → 28 Jun 2018

Conference

Conference	PMAPS International Conference 2018
Country/Territory	United States
City	Idaho
Period	24/06/18 → 28/06/18

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10.1109/PMAPS.2018.8440529Licence: None: All rights reserved

Alvarez-Alvarado_et_al_Aging_reliability_model_PMAPS_2018
(©2018 IEEE)
Accepted author manuscript, 1.4 MBLicence: None: All rights reserved

https://ieeexplore.ieee.org/document/8440529/Licence: None: All rights reserved

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title = "Aging Reliability Model for Generation Adequacy",

abstract = "As time passes through, components tend to be less reliable because they suffer a degradation produced by aging. Focusing on reliability assessment for generation adequacy, generator reliability model hardly considers this fact. This assumption produces an inaccurate reliability assessment. This paper proposes a novel mathematical formulation that considers aging effect and brings estimation for the degradation of the component. The method is derived from the concept of absorption Markov chain to model component's lifetime. The specific contribution of this work is to present a comprehensive reliability model for generation adequacy.",

author = "{Alvarez Alvarado}, Manuel and Dilan Jayaweera",

year = "2018",

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doi = "10.1109/PMAPS.2018.8440529",

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AU - Alvarez Alvarado, Manuel

AU - Jayaweera, Dilan

PY - 2018/6/24

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N2 - As time passes through, components tend to be less reliable because they suffer a degradation produced by aging. Focusing on reliability assessment for generation adequacy, generator reliability model hardly considers this fact. This assumption produces an inaccurate reliability assessment. This paper proposes a novel mathematical formulation that considers aging effect and brings estimation for the degradation of the component. The method is derived from the concept of absorption Markov chain to model component's lifetime. The specific contribution of this work is to present a comprehensive reliability model for generation adequacy.

AB - As time passes through, components tend to be less reliable because they suffer a degradation produced by aging. Focusing on reliability assessment for generation adequacy, generator reliability model hardly considers this fact. This assumption produces an inaccurate reliability assessment. This paper proposes a novel mathematical formulation that considers aging effect and brings estimation for the degradation of the component. The method is derived from the concept of absorption Markov chain to model component's lifetime. The specific contribution of this work is to present a comprehensive reliability model for generation adequacy.

U2 - 10.1109/PMAPS.2018.8440529

DO - 10.1109/PMAPS.2018.8440529

M3 - Conference contribution

BT - Aging Reliability Model for Generation Adequacy

T2 - PMAPS International Conference 2018

Y2 - 24 June 2018 through 28 June 2018

ER -

Aging Reliability Model for Generation Adequacy

Abstract

Conference

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