Diagnosis of chatter type based on neural network (Retracted Article)

doi:10.1016/j.egypro.2011.10.343

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Diagnosis of chatter type based on neural network (Retracted Article)
	Xie Xiaozheng; Zhao Rongzhen; Jin Wuyin; Yao Yunpinga
	2011
关键词	Chatter diagnosis Type BP neural network
卷号	11
DOI	10.1016/j.egypro.2011.10.343
英文摘要	By analyzing chatter dynamic model, the article studies chatter phenomenon between metal cutting tool and workpiece during the cutting. From the perspective of energy, phase position difference of chatter mark, phase position difference of vibration mode, lagging phase position angle and change rate about cutting force relative to the cutting speed are respectively determined as characteristic parameter of regenerative, coupling vibration, lagging and fricative mode of chatter. With the four input parameters, multilayer feed forward neural network learning algorithm is used to diagnose the type of cutting chatter, and experiments show that this method is effective. It is essential to take appropriate measures on vibration suppression. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Organizers of 2011 International Conference on Energy and Environmental Science.
会议录	2011 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL SCIENCE-ICEES 2011
会议录出版者	ELSEVIER SCIENCE BV
会议录出版地	SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
语种	英语
WOS研究方向	Energy & Fuels ; Environmental Sciences & Ecology
WOS记录号	WOS:000299096400143
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37318]
专题	机电工程学院
通讯作者	Xie Xiaozheng
作者单位	Lanzhou Univ Technol, Sch Mech & Electron Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Xie Xiaozheng,Zhao Rongzhen,Jin Wuyin,et al. Diagnosis of chatter type based on neural network (Retracted Article)[C]. 见:.