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Volume 2 Issue 2
Apr.  2020
Article Contents

Kong L B, Peng X, Chen Y, Wang P, Xu M. Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review. Int. J. Extrem. Manuf. 2, 022001 (2020).
Citation: Kong L B, Peng X, Chen Y, Wang P, Xu M. Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review. Int. J. Extrem. Manuf. 2, 022001 (2020).

Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review


doi: 10.1088/2631-7990/ab7ae6
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  • Publish Date: 2020-04-03
  • Due to the rapid development of precision manufacturing technology, much research has been conducted in the field of multisensor measurement and data fusion technology with a goal of enhancing monitoring capabilities in terms of measurement accuracy and information richness, thereby improving the efficiency and precision of manufacturing. In a multisensor system, each sensor independently measures certain parameters. Then, the system uses a relevant signal-processing algorithm to combine all of the independent measurements into a comprehensive set of measurement results. The purpose of this paper is to describe multisensor measurement and data fusion technology and its applications in precision monitoring systems. The architecture of multisensor measurement systems is reviewed, and some implementations in manufacturing systems are presented. In addition to the multisensor measurement system, related data fusion methods and algorithms are summarized. Further perspectives on multisensor monitoring and data fusion technology are included at the end of this paper.

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Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review

doi: 10.1088/2631-7990/ab7ae6
  • Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University, Shanghai 200433, People's Republic of China

Abstract: 

Due to the rapid development of precision manufacturing technology, much research has been conducted in the field of multisensor measurement and data fusion technology with a goal of enhancing monitoring capabilities in terms of measurement accuracy and information richness, thereby improving the efficiency and precision of manufacturing. In a multisensor system, each sensor independently measures certain parameters. Then, the system uses a relevant signal-processing algorithm to combine all of the independent measurements into a comprehensive set of measurement results. The purpose of this paper is to describe multisensor measurement and data fusion technology and its applications in precision monitoring systems. The architecture of multisensor measurement systems is reviewed, and some implementations in manufacturing systems are presented. In addition to the multisensor measurement system, related data fusion methods and algorithms are summarized. Further perspectives on multisensor monitoring and data fusion technology are included at the end of this paper.

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