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

doi:10.1243/13506501JET518

CORC > 兰州理工大学 > 兰州理工大学

	Fractal analysis of vibration signals for monitoring the condition of milling tool wear
	Chuangwen, Xu 2; Hualing, C.1
刊名	Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
	2009-09-01
卷号	223 期号:6 页码:909-918
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
ISSN号	13506501
DOI	10.1243/13506501JET518
英文摘要	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.
语种	英语
出版者	SAGE Publications Ltd
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111740]
专题	兰州理工大学
作者单位	1.School of Mechanical Engineering, Xi'An Jiaotong University, Xi'an, Shanxi, China 2.Lanzhou Polytechnic College, Lanzhou, Gansu, 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.