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- W3075412317 abstract "Industry 4.0 is an industrial era where several disruptive technologies e.g. Internet of Things, cloud technology, 3D printed, advanced robotics and materials have merged or integrated to enables a new level of organising and controlling the entire valve chain with the product lifecycle by creating dynamic and real-time understanding of cross-company behaviours. Such collaboration between physical and cyber spaces is rapidly growing and the benefits becoming more feasible. However, the interaction of human (in case automation is not applicable) at physical space with digital contents requires special facilitation where argumentation is the key. Predictive maintenance which is based on real-time measurements e.g. health/process parameters requires high level of expertise to understand and diagnose the present status of machine health. Therefore, the purpose of this paper is to explore, through a pilot project, how could augmented reality technology be utilised to assist novice learners to gain deep understanding of predictive maintenance process and practical skills as well. The case study is developed to assist the student of industrial asset management programme to learn the machine fault simulator and the analysed content of vibration measurements. Such contribution aims to enhance the training technology and accelerate the learning process of novice technician/engineers to be expert." @default.
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- W3075412317 date "2020-01-01" @default.
- W3075412317 modified "2023-09-26" @default.
- W3075412317 title "Augmented Reality Technology for Predictive Maintenance Education: A Pilot Case Study" @default.
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- W3075412317 doi "https://doi.org/10.1007/978-3-030-48021-9_67" @default.
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