State recognition of milling tool wear based on time series analysis and fuzzy cluster

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	State recognition of milling tool wear based on time series analysis and fuzzy cluster
	Xu, Chuangwen ; Chen, Hualing ; Cheng, Zhongwen ; Li, Baodong
刊名	Jixie Qiandu/Journal of Mechanical Strength
	2007-08-01
卷号	29 期号:4 页码:525-531
ISSN号	10019669
英文摘要	Based on time series analysis and fuzzy cluster analysis, a new method of state recognition of milling tool wear was set up. After calculating, verifying liberation signal of tool state, and analyzing cutoff property, trailing property, periodicity of the sample autocorrelation function and partial autocorrelation function as well as estimating parameter of model. It can be decided that dynamic data serial is suit AR(p) (autoregression) model. Taking p equal to 12 as a feature vector extraction, based on the fuzzy cluster analysis the similarity relation between the feature vector of the tool working state and the sample feature vector was obtained. Working state of tool wear was determined according to the similarity relation of feature vector. This method was used to recognize initial wear state, normal wear state and acute wear state of milling tool. The result indicates that this method of tool wear recognition based on time series analysis and fuzzy cluster is effective.
语种	中文
出版者	Journal of Mechanical Strength, Zhengzou, Henan, 450052, China
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/151458]
专题	兰州理工大学
作者单位	1.School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China; 2.Department of Mechanical Engineering, Lanzhou Polytechnic College, Lanzhou 730050, China
推荐引用方式 GB/T 7714	Xu, Chuangwen,Chen, Hualing,Cheng, Zhongwen,et al. State recognition of milling tool wear based on time series analysis and fuzzy cluster[J]. Jixie Qiandu/Journal of Mechanical Strength,2007,29(4):525-531.
APA	Xu, Chuangwen,Chen, Hualing,Cheng, Zhongwen,&Li, Baodong.(2007).State recognition of milling tool wear based on time series analysis and fuzzy cluster.Jixie Qiandu/Journal of Mechanical Strength,29(4),525-531.
MLA	Xu, Chuangwen,et al."State recognition of milling tool wear based on time series analysis and fuzzy cluster".Jixie Qiandu/Journal of Mechanical Strength 29.4(2007):525-531.