Compressive sensing and sparse decomposition in precision machining process monitoring: From theory to applications
文献类型：期刊论文
| 作者 | Zhu, Kunpeng1; Lin, Xin1,2; Li, Kexuan1,3; Jiang, Lili1,4 |
| 刊名 | MECHATRONICS
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：合肥物质科学研究院
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