Proceedings of the International Conference on Electronics, Mechanics, Culture and Medicine

Expert System of Electric Pump Well Condition Diagnosis

Authors
Jia Zhang
Corresponding Author
Jia Zhang
Available Online February 2016.
DOI
10.2991/emcm-15.2016.137How to use a DOI?
Keywords
Expert system; Electric pump well; Diagnosis; Fault tree; Rete algorithm
Abstract

In order to realize the intelligent diagnosis of the electric pump and the motor working condition during the operation period of the electric pump well, an expert system based on fault tree and rete algorithm is realized. Through the analysis on the fault characteristics of the electric pump well, established the fault tree and knowledge base that support electric pump and motor working condition diagnosis, then combined with the rete algorithm based on production rule, which is used to obtain the diagnosis result of working condition, and gives the corresponding optimization suggestion. At last, based on the basic data and motor test data of electric pump well, the working conditions of 57 wells were diagnosed. The result shows that the diagnosis results are consistent with the practice, which improves the efficiency and accuracy of the working condition’s fault location.

Copyright
© 2016, 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 International Conference on Electronics, Mechanics, Culture and Medicine
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
10.2991/emcm-15.2016.137
ISSN
2352-538X
DOI
10.2991/emcm-15.2016.137How to use a DOI?
Copyright
© 2016, 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  - Jia Zhang
PY  - 2016/02
DA  - 2016/02
TI  - Expert System of Electric Pump Well Condition Diagnosis
BT  - Proceedings of the International Conference on Electronics, Mechanics, Culture and Medicine
PB  - Atlantis Press
SP  - 754
EP  - 758
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-15.2016.137
DO  - 10.2991/emcm-15.2016.137
ID  - Zhang2016/02
ER  -