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Condition monitoring towards energy-efficient manufacturing: a review

ORIGINAL ARTICLE

Abstract

Recently, sustainable development has obtained increasing attentions from governments, industry, and academia owing to the limited natural resources. In the area of energy consumption, manufacturing accounts for a major portion of the total energy usage in industry. There is a clear necessity for energy-efficient manufacturing by optimizing manufacturing activities. Condition monitoring is the technology that provides runtime information for optimization. This paper aims to provide a better understanding of past achievements and future trends of condition monitoring towards energy-efficient manufacturing. Since there are a variety of sensors and technologies that can be used for condition monitoring towards energy-efficient manufacturing, this paper divides manufacturing activities into three levels, namely unit process level, shop-floor level, and supply chain level, and summarizes and discusses the sensors and technologies required to enable energy-efficient manufacturing on each level. With the advancement of technology, condition monitoring shows the characteristic of intelligence. Intelligent sensors that can be applied to condition monitoring in energy-efficient manufacturing are also reviewed. This paper can be helpful to manufacturers who are willing to improve energy efficiency in own manufacturing practice.

Keywords

Sustainable development Energy-efficient manufacturing Condition monitoring Intelligence 

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Copyright information

© Springer-Verlag London 2017

Authors and Affiliations

  • Zude Zhou
    • 1
    • 3
  • Bitao Yao
    • 1
    • 3
  • Wenjun Xu
    • 2
    • 3
  • Lihui Wang
    • 4
  1. 1.School of Mechanical and Electronic EngineeringWuhan University of TechnologyWuhanChina
  2. 2.School of Information EngineeringWuhan University of TechnologyWuhanChina
  3. 3.Key Laboratory of Fiber Optic Sensing Technology and Information Processing (Wuhan University of Technology)Ministry of EducationWuhanChina
  4. 4.Department of Production EngineeringKTH Royal Institute of TechnologyStockholmSweden

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