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A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR
Joint Authors
Ma, Gang
Jiang, Linru
Xu, Guchao
Zheng, Jianyong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Nowadays the demand of power supply reliability has been strongly increased as the development within power industry grows rapidly.
Nevertheless such large demand requires substantial power grid to sustain.
Therefore power equipment’s running and testing data which contains vast information underpins online monitoring and fault diagnosis to finally achieve state maintenance.
In this paper, an intelligent fault diagnosis model for power equipment based on case-based reasoning (IFDCBR) will be proposed.
The model intends to discover the potential rules of equipment fault by data mining.
The intelligent model constructs a condition case base of equipment by analyzing the following four categories of data: online recording data, history data, basic test data, and environmental data.
SVM regression analysis was also applied in mining the case base so as to further establish the equipment condition fingerprint.
The running data of equipment can be diagnosed by such condition fingerprint to detect whether there is a fault or not.
Finally, this paper verifies the intelligent model and three-ratio method based on a set of practical data.
The resulting research demonstrates that this intelligent model is more effective and accurate in fault diagnosis.
American Psychological Association (APA)
Ma, Gang& Jiang, Linru& Xu, Guchao& Zheng, Jianyong. 2015. A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073209
Modern Language Association (MLA)
Ma, Gang…[et al.]. A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073209
American Medical Association (AMA)
Ma, Gang& Jiang, Linru& Xu, Guchao& Zheng, Jianyong. A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073209
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073209