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	Comparison of RBF neural network and support vector machine on aero-engine vibration fault diagnosis
	Xiong, Kai ; Jiang, DongXiang ; Ding, YongShan ; Li, Kai
	2010-05-10 ; 2010-05-10
会议名称	Damage Assessment of Structures VII ; 7th International Conference on Damage Assessment of Structures (DAMAS 2007) ; Turin, ITALY ; Web of Science
关键词	aero-engine fault diagnosis RBF neural network support vector machine ROTATING MACHINERY Materials Science, Ceramics Materials Science, Composites
中文摘要	RBF neural network and support vector machine (SVM), two Artificial Intelligent (AI) methods, have been extensively applied on machinery fault diagnosis. Aero-engine, as one kind of rotating machine with complex structure and high rotating speed, has complicated vibration faults. As one kind of AI methods, RBF neural network has the advantages of fast learning, high accuracy and strong self-adapting ability. Support vector machine, another AI method, only needs a small quantity of fault data samples to train the classifier and does not need to extract signal features. In this paper, the applications of two AI methods on aero-engine vibration fault diagnosis are introduced. Firstly, the principles and algorithm of both two methods are presented. Secondly the fundamentals of two-shaft aero-engine vibration fault diagnosis are described and gotten the standard fault samples (training samples) and simulation samples (testing samples). Third, two AI methods are applied to the vibration fault diagnosis and obtained the diagnostic results. Finally, the advantages and disadvantages of the two methods are compared such as the computing speed, accuracy of diagnosis and complexity of algorithm, and given a suggestion of selecting the diagnostic methods.
会议录出版者	TRANS TECH PUBLICATIONS LTD ; STAFA-ZURICH ; LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19588]
专题	清华大学
推荐引用方式 GB/T 7714	Xiong, Kai,Jiang, DongXiang,Ding, YongShan,et al. Comparison of RBF neural network and support vector machine on aero-engine vibration fault diagnosis[C]. 见:Damage Assessment of Structures VII, 7th International Conference on Damage Assessment of Structures (DAMAS 2007), Turin, ITALY, Web of Science.

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