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	A graphic pattern feature-mapping-based data-driven condition monitoring method for diesel engine malfunction identification and classification
	Li, Yiqing; Zhou, Wen; Zi, Yanyang
刊名	Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
	2019
卷号	233页码:202-212
关键词	Actuating mechanisms Catastrophic consequences Combustion pro-cess Cylinder pressure signals Feature extraction and recognition Feature mapping Fuel injection systems Pattern recognition method
ISSN号	0954-4062
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2828268
专题	西安交通大学
推荐引用方式 GB/T 7714	Li, Yiqing,Zhou, Wen,Zi, Yanyang. A graphic pattern feature-mapping-based data-driven condition monitoring method for diesel engine malfunction identification and classification[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2019,233:202-212.
APA	Li, Yiqing,Zhou, Wen,&Zi, Yanyang.(2019).A graphic pattern feature-mapping-based data-driven condition monitoring method for diesel engine malfunction identification and classification.Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,233,202-212.
MLA	Li, Yiqing,et al."A graphic pattern feature-mapping-based data-driven condition monitoring method for diesel engine malfunction identification and classification".Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233(2019):202-212.

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