DocumentCode
3249582
Title
Implementation of business rules approach in transformer fault detection system
Author
Zhang, Gang ; Guo, Tao ; Liu, Jiejun
Author_Institution
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear
2012
fDate
14-17 July 2012
Firstpage
135
Lastpage
138
Abstract
In present electric power system, signal feedback approach is used in fault detection system of power transmission and transformation devices. Each monitor station controls a huge amount of devices. Fault information is delivered to workers by displaying on the screen. The high refresh rate of prompted messages on screen and the long duration of decision-making will result in the loss of important fault information. In order to address that problem, we developed a transformer fault detection system by adopting rule-based programming approach based on the transformer´s fault detection in electric power transmission and transformation. This system can help workers analyze the fault information and take corresponding operations. In order to let user maintain business rules base independently, we developed business rules management system. In this paper, it shows that rule-based approach can be applied in fault detection, and it reduces worker workload greatly. The implementation of rule management system indicates that users can maintain rule base independently. If the system defines a definite definition of conflicts in rule base, it can automatically detect the existence of conflict rules.
Keywords
decision making; fault diagnosis; power system management; power transformers; power transmission faults; business rules approach; electric power system; electric power transformation; electric power transmission; fault detection system; monitor station control; signal feedback approach; transformation devices; transformer fault detection system; Business; Electrical fault detection; Engines; Expert systems; Fault detection; Monitoring; Oil insulation; Business Rules Management System; Rule-Based Approach; Transformer Fault Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295043
Filename
6295043
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