Application of artificial Intelligence to an electrical rewinding factory shop.
Matenga, A. Murena, E. Mpofu, Khumbulani
Matenga, A.
Murena, E.
Mpofu, Khumbulani
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Abstract
The evolution of artificial intelligence (AI) and big data resulted in the full potential realization of technologies through convergence. Tremendous acceptance, adoption and implementation of the United Nations Sustainable Development Goals (SDG) Agenda 2030, has resulted in original equipment manufacturers (OEM) developing various designs of rotary machines in a bid to improve energy efficiency, with more improvements expected in the coming decade. An effective technique to manage energy efficiency in the smart grid is through integration of demand side management, inclusive of optimization of rewinding of an electric motor in a machine shop. This paper aims to conceptualize application of AI and augmented reality (AR) towards process visibility of remanufacturing rotary machine stators by robotic vision. SLT is the triangulation methodology used in laser scanning for 3D modelling, and instantaneous condition assessment of the core. A pre-defined robotic path is used towards identification of features for range image acquisition. Therefore, the potential of industry 4.0 in resuscitation of end-of-life products through service remanufacturers by RE in a rewinding shop are presented.
Description
30th CIRP Design 2020 (CIRP Design 2020).
Date
2020-01-01
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Publisher
Elsevier
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Keywords
Computational imaging, Structured light triangulation, Multiple life cycle, Artificial intelligence, Augmented reality