Fractal analysis of vibration signals for monitoring the condition of milling tool wear

doi:10.1243/13506501JET518

	Fractal analysis of vibration signals for monitoring the condition of milling tool wear
	Chuangwen, Xu 1; Hualing, C.2
	2009-09-01
发表期刊	Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
ISSN	13506501
卷号	223 期号:6 页码:909-918
摘要	Tool wear depends on the common effect of many factors in the milling process and it is a very complicated random motion process in its evolution process. In order to reveal the inherent law of such a seemingly random evolution process, pattern recognition is described for the milling tool wear conditions by means of chaotic theory. Factors that influence the consistency of the calculated fractal dimension based on fractal dimension of vibration signals are analysed in this study. The angle domain tracing method is adopted during acquisition of vibration signals to minimize the effect from spindle speed. A new method for calculating the fractal unscale range is proposed for determining the fractal dimension. This method is based on multi-segments' average and threshold, which can extend the scope of the fractal unscale range. The experimental results show that the fractal theory can be applied in the monitoring field for milling tool wear to be practicable.
关键词	Fractal dimension Milling (machining) Pattern recognition Phase space methods Signal analysis Time series Vibration analysis Wear of materials Chaotic theory Evolution process Fractal analysis Milling process Reconstructing phase space Tool wear Tracing method Vibration signal
DOI	10.1243/13506501JET518
收录类别	EI
语种	英语
出版者	SAGE Publications Ltd
EI入藏号	20100812732035
EI主题词	Cutting tools
EI分类号	603.2 Machine Tool Accessories - 604.2 Machining Operations - 716.1 Information Theory and Signal Processing - 921 Mathematics - 922.2 Mathematical Statistics - 951 Materials Science
来源库	Compendex
分类代码	603.2 Machine Tool Accessories - 604.2 Machining Operations - 716.1 Information Theory and Signal Processing - 921 Mathematics - 922.2 Mathematical Statistics - 951 Materials Science
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/111740
专题	兰州理工大学
作者单位	1.Lanzhou Polytechnic College, Lanzhou, Gansu, China; 2.School of Mechanical Engineering, Xi'An Jiaotong University, Xi'an, Shanxi, China
推荐引用方式 GB/T 7714	Chuangwen, Xu,Hualing, C.. Fractal analysis of vibration signals for monitoring the condition of milling tool wear[J]. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology,2009,223(6):909-918.
APA	Chuangwen, Xu,&Hualing, C..(2009).Fractal analysis of vibration signals for monitoring the condition of milling tool wear.Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology,223(6),909-918.
MLA	Chuangwen, Xu,et al."Fractal analysis of vibration signals for monitoring the condition of milling tool wear".Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 223.6(2009):909-918.