Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications

doi:10.1016/j.mechatronics.2015.04.017

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥物质科学研究院先进制造技术研究所

	Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications
	Zhu, Kunpeng 1; Lin, Xin 1,2; Li, Kexuan 1,3; Jiang, Lili 1,4
刊名	MECHATRONICS
	2015-10-01
卷号	31 期号:无页码:3-15
关键词	Sparse Decomposition Precision Machining Condition Monitoring
DOI	10.1016/j.mechatronics.2015.04.017
文献子类	Article
英文摘要	Precision machining has been claimed to be the backbone to modern industry. It has been widely applied to the key parts' production in the aerospace, medical and automotive industries. One of the main problems related to precision machining productivity and safety is the machining condition. By utilizing the acquired information from sensory measurements to direct the further actions, the signal processing bridges the gap between human instruction and full automation. Traditional signal acquisition and processing methods are mainly based on Shannon's Sampling theory, Fourier methods or wavelet analysis. While these techniques meet challenges in precision machining environment, such as machining at high speed, low signal to noise ratio, and high sampling rate. These factors limit their applications especially the online monitoring implementation. The newly developed compressive sensing theory and sparse decomposition techniques provide a possible solution to these problems, while limited studies have been investigated. This paper serves as an introduction to the theory and shows the theory's potentials in machining condition monitoring by reviewing related literatures and demonstrating case studies from real experiments. (C) 2015 Elsevier Ltd. All rights reserved.
WOS关键词	INDEPENDENT COMPONENT ANALYSIS ; BLIND SOURCE SEPARATION ; TOOL-WEAR ; SIGNAL RECONSTRUCTION ; FAULT-DIAGNOSIS ; ATOMIC DECOMPOSITION ; FEATURE-EXTRACTION ; BREAKAGE DETECTION ; REPRESENTATION ; DICTIONARIES
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
语种	英语
WOS记录号	WOS:000367772000002
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/22214]
专题	合肥物质科学研究院_中科院合肥物质科学研究院先进制造技术研究所
作者单位	1.Chinese Acad Sci, Inst Adv Mfg Technol, Hefei Inst Phys Sci, Changzhou 213164, Jiangsu, Peoples R China 2.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China 3.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China 4.Hefei Univ Technol, Dept Elect Engn & Automat, Hefei 230009, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Kunpeng,Lin, Xin,Li, Kexuan,et al. Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications[J]. MECHATRONICS,2015,31(无):3-15.
APA	Zhu, Kunpeng,Lin, Xin,Li, Kexuan,&Jiang, Lili.(2015).Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications.MECHATRONICS,31(无),3-15.
MLA	Zhu, Kunpeng,et al."Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications".MECHATRONICS 31.无(2015):3-15.