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Topical Review | Open Access

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

Lingbao Kong Xing PengYao ChenPing WangMin Xu
Shanghai Engineering Research Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University, Shanghai 200433, People’s Republic of China
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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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International Journal of Extreme Manufacturing
Pages 022001-022001

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Cite this article:
Kong L, Peng X, Chen Y, et al. Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review. International Journal of Extreme Manufacturing, 2020, 2(2): 022001. https://doi.org/10.1088/2631-7990/ab7ae6

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Received: 26 December 2019
Revised: 07 February 2020
Accepted: 27 February 2020
Published: 30 March 2020
© 2020 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.