Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)

Condition Analysis of Steam Turbine DEH Control System based on Data Fusion

Authors
Zhenhe Wang
Corresponding Author
Zhenhe Wang
Available Online September 2018.
DOI
10.2991/iceep-18.2018.55How to use a DOI?
Keywords
DEH control system; condition analysis; data fusion
Abstract

Aiming at the problem that the system of digital electro-hydraulic(DEH) regulation system is complex and difficult to analyze its condition, a method based on characteristic extraction and information fusion is proposed. By making RCM analysis, the indexes for quantitative risk evaluation of fault modes are determined, and the fuzzy rule base for risk evaluation is built. Using fuzzy inference, the system fault modes are ranked according to their risk level. Then, the condition characteristic parameters are extracted according to the pivot fault modes. Using the extracted characteristic parameters, an information fusion method based on evidence theory is put forward to evaluate the system’s condition. It is shown by the instance that this method is feasible and effective and the condition analysis results can be used as a support for next maintenance decisions.

Copyright
© 2018, 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 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
978-94-6252-558-0
ISSN
2352-5401
DOI
10.2991/iceep-18.2018.55How to use a DOI?
Copyright
© 2018, 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  - Zhenhe Wang
PY  - 2018/09
DA  - 2018/09
TI  - Condition Analysis of Steam Turbine DEH Control System based on Data Fusion
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 321
EP  - 327
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.55
DO  - 10.2991/iceep-18.2018.55
ID  - Wang2018/09
ER  -