Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2005 IEEE Russia Power Tech, PowerTech |
| Publikationsstatus | Veröffentlicht - 2005 |
| Veranstaltung | 2005 IEEE Russia Power Tech, PowerTech - St. Petersburg, Russland Dauer: 27 Juni 2005 → 30 Juni 2005 |
Publikationsreihe
| Name | 2005 IEEE Russia Power Tech, PowerTech |
|---|
Abstract
Due to the large amount of electrical apparatus and the costs of an individual diagnosis in medium-voltage networks, a general consideration of some representative electrical components to assess the lifetime of the electrical apparatus is necessary. Under the investigation of the general ageing mechanisms of individual electrical components, a new method for the assessment of the lifetime of the electrical components is presented in this paper. This method utilises the life model, the probabilistic failure model and the enlargement law to predict the failure probability and the failure rate of the electrical components in medium-voltage networks for a future time period. Therefore, a relationship between lifetime and reliability of the electrical components is developed which supports the decision-making in deregulation of the electrical energy market later. It is demonstrated with cable and transformer data that the method is able to assess the lifetime and reliability of the electrical components with accurate and convenient data.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Energie (insg.)
- Kernenergie und Kernkraftwerkstechnik
Zitieren
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- BibTex
- RIS
2005 IEEE Russia Power Tech, PowerTech. 2005. 4524482 (2005 IEEE Russia Power Tech, PowerTech).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Life asset management of the electrical components in medium-voltage networks
AU - Zhang, X.
AU - Gockenbach, Ernst
AU - Borsi, H.
N1 - Copyright: Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - Due to the large amount of electrical apparatus and the costs of an individual diagnosis in medium-voltage networks, a general consideration of some representative electrical components to assess the lifetime of the electrical apparatus is necessary. Under the investigation of the general ageing mechanisms of individual electrical components, a new method for the assessment of the lifetime of the electrical components is presented in this paper. This method utilises the life model, the probabilistic failure model and the enlargement law to predict the failure probability and the failure rate of the electrical components in medium-voltage networks for a future time period. Therefore, a relationship between lifetime and reliability of the electrical components is developed which supports the decision-making in deregulation of the electrical energy market later. It is demonstrated with cable and transformer data that the method is able to assess the lifetime and reliability of the electrical components with accurate and convenient data.
AB - Due to the large amount of electrical apparatus and the costs of an individual diagnosis in medium-voltage networks, a general consideration of some representative electrical components to assess the lifetime of the electrical apparatus is necessary. Under the investigation of the general ageing mechanisms of individual electrical components, a new method for the assessment of the lifetime of the electrical components is presented in this paper. This method utilises the life model, the probabilistic failure model and the enlargement law to predict the failure probability and the failure rate of the electrical components in medium-voltage networks for a future time period. Therefore, a relationship between lifetime and reliability of the electrical components is developed which supports the decision-making in deregulation of the electrical energy market later. It is demonstrated with cable and transformer data that the method is able to assess the lifetime and reliability of the electrical components with accurate and convenient data.
KW - Assessment
KW - Electrical component
KW - Failure probability
KW - Failure rate
KW - Lifetime
KW - Medium-voltage network
KW - Model
UR - http://www.scopus.com/inward/record.url?scp=51549092536&partnerID=8YFLogxK
U2 - 10.1109/PTC.2005.4524482
DO - 10.1109/PTC.2005.4524482
M3 - Conference contribution
AN - SCOPUS:51549092536
SN - 9781424418749
T3 - 2005 IEEE Russia Power Tech, PowerTech
BT - 2005 IEEE Russia Power Tech, PowerTech
T2 - 2005 IEEE Russia Power Tech, PowerTech
Y2 - 27 June 2005 through 30 June 2005
ER -