DocumentCode :
3167705
Title :
A new method of diagnosing in-cylinder combustion deficiency based on fuzzy clustering theory and intra-cycle speed fluctuation
Author :
Hongyan, Chen ; Jin, Yan ; Min, Cheng
Author_Institution :
Mech. & Electr. Eng. Coll., China Jiliang Univ., Hangzhou, China
fYear :
2010
fDate :
29-30 Oct. 2010
Firstpage :
667
Lastpage :
670
Abstract :
A new method of diagnosing in-cylinder combustion deficiency, utilizing intra-cycle speed fluctuation by means of fuzzy clustering theory was developed in this paper. In the study, a self-researched condition monitor was used to acquire on-line test data of intra-cycle speed fluctuation. The experiments in SY492Q-(gasoline engine) showed that fault diagnosis using fuzzy clustering theory was advantageous for considering many factors and reliable under 2000rpm.
Keywords :
condition monitoring; fault diagnosis; fuzzy set theory; internal combustion engines; pattern clustering; petroleum; SY492Q-gasoline engine; fault diagnosis; fuzzy clustering theory; in-cylinder combustion deficiency diagnosing; intra-cycle speed fluctuation; self-researched condition monitor; Diagnosis; Fuzzy Clustering; Intra-cycle Speed Fluctuation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
Type :
conf
DOI :
10.1109/ICAIE.2010.5641030
Filename :
5641030
Link To Document :
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