NDLI: In-process monitoring in electrical machine manufacturing: A review of state of the art and future directions

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In-process monitoring in electrical machine manufacturing: A review of state of the art and future directions

Content Provider	SAGE Publishing
Author	Tiwari, Divya Farnsworth, Michael Zhang, Ze Jewell, Geraint W. Tiwari, Ashutosh
Copyright Year	2021
Abstract	Manual operations feature prominently in the manufacture of many electrical machines. Even though high-volume electrical machine manufacture is dominated by automation, several manufacturing operations continue to involve manual intervention because of the complexity of such operations makes them heavily reliant on high dexterity manual skills and experience. However, quality can be variable due to human involvement. Currently, in order to maintain a high precision of control and required tolerances of the final machine, inspection is performed at various steps during manufacturing and assembly. Detecting a defect at these end-of-line tests can result in significant wasted time and costs due to rework or scrappage. The solution to this problem lies in in-process monitoring particularly for error prone manual operations. This paper presents a literature review of the state-of-the-art available techniques and limitations in process monitoring within the context of electrical machine manufacturing. To quantify the degree of manual activities in process monitoring within electrical machine manufacture, a structured survey of UK based companies was conducted, identifying specific error prone manual processes to target, and gaps in inspection. The survey identified that a significant proportion of activities in electrical machine manufacture are manual, or semi-automated with manual interventions. However, literature review revealed only a limited research in in-process monitoring of manual operations in this area. Finally, two case studies are presented where case study 1 presents a framework for digitisation of a variety of manual manufacturing tasks, and case study 2 demonstrates real-time capture, modelling and analysis of deformable linear objects in electrical machine manufacturing.
Related Links	https://journals.sagepub.com/doi/pdf/10.1177/09544054211016675?download=true
Starting Page	2035
Ending Page	2051
Page Count	17
ISSN	09544054
Issue Number	13
Volume Number	235
Journal	Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture (PIB)
e-ISSN	20412975
DOI	10.1177/09544054211016675
Language	English
Publisher	Sage Publications UK
Publisher Date	2021-05-12
Publisher Place	London
Access Restriction	Open
Rights Holder	© IMechE 2021
Subject Keyword	manufacturing electrical machines Digitisation process monitoring
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Mechanical Engineering

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