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Fault Diagnosis of Car Engine by Using a Novel GA-Based Extension Recognition Method
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Due to the passenger’s security, the recognized hidden faults in car engines are the most important work for a maintenance engineer, so they can regulate the engines to be safe and improve the reliability of automobile systems.
In this paper, we will present a novel fault recognition method based on the genetic algorithm (GA) and the extension theory and also apply this method to the fault recognition of a practical car engine.
The proposed recognition method has been tested on the Nissan Cefiro 2.0 engine and has also been compared to other traditional classification methods.
Experimental results are of great effect regarding the hidden fault recognition of car engines, and the proposed method can also be applied to other industrial apparatus.
American Psychological Association (APA)
Wang, Meng-Hui& Wu, Pi-Chu. 2014. Fault Diagnosis of Car Engine by Using a Novel GA-Based Extension Recognition Method. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-494506
Modern Language Association (MLA)
Wang, Meng-Hui& Wu, Pi-Chu. Fault Diagnosis of Car Engine by Using a Novel GA-Based Extension Recognition Method. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-494506
American Medical Association (AMA)
Wang, Meng-Hui& Wu, Pi-Chu. Fault Diagnosis of Car Engine by Using a Novel GA-Based Extension Recognition Method. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-494506
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494506