Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

Research on Evaluation System of Investment Benefit of Power Equipment Overhaul Based on Reliability Theory

Authors
Yuanhui Huang, Dunnan Liu, Xiaokui Su, Luqing Liu
Corresponding Author
Yuanhui Huang
Available Online September 2017.
DOI
https://doi.org/10.2991/amee-17.2017.30How to use a DOI?
Keywords
reliability theory; power equipment overhaul; benefit evaluation
Abstract

In view of the lack of reliability theory in the evaluation of investment efficiency of power equipment overhaul, this paper presents a reliability evaluation system based on reliability theory for investment in power equipment overhaul. Based on the reliability optimization theory, this paper studies the relationship between reliability cost and benefit, and analyzes the reliability of power transmission equipment and reliability of the system. And the theory of reliability is applied to the evaluation of the investment benefit of the technical equipment overhaul.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-393-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/amee-17.2017.30How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yuanhui Huang
AU  - Dunnan Liu
AU  - Xiaokui Su
AU  - Luqing Liu
PY  - 2017/09
DA  - 2017/09
TI  - Research on Evaluation System of Investment Benefit of Power Equipment Overhaul Based on Reliability Theory
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 144
EP  - 148
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.30
DO  - https://doi.org/10.2991/amee-17.2017.30
ID  - Huang2017/09
ER  -