The paper entitled “Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis” has been presented in the International Conference on Engineering, Technology and Innovation (ICE/ IEEE ITMC) which took place on June 17-19, 2019 in Valbonne Sophia-Antipolis, France.
Authors: Francesco Aggogeri; Nicola Pellegrini; Claudio Taesi; Monica Tiboni
Abstract: The digital twin concept is more and more appearing in industrial applications including the field of the predictive maintenance. This paper, initially, summarizes and presents studies that use the digital twin concept for digital twin concept for condition monitoring and predictive in manufacturing. Following, the gaps in the existing literature are identified and analyzed and a brief proposition of the way that the already existing state of the art can go further is presented. A future outlook of the research in the particular field is provided.