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Machine health management in smart factory: A review
이길용,김민철,전영준,김민식,Thomas Joon Young Kim,윤해성,민상기,김동현,문정욱,오진우,최인규,김창수,추원식,양진규,Binayak Bhandari,이춘만,인정범,안성훈 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.3
In this paper, we present a review of machine health managements for the smart factory. As the Industry 4.0 leads current factory automation and intelligent machines, the machine health management for diagnostic and prognostic purposes are essential, and their importance is getting more significant for the realization of the smart factory in the Industry 4.0. After brief introductions to important concepts and definitions composing smart factory and Industry 4.0, the developments in maintenance strategies towards Prognostics and health management (PHM) of machines are summarized. The review of machine health managements is followed, classifying the references by the monitoring components, types of measurements, as well as PHM tools and algorithms. 94 existing articles are reviewed and summarized in this regard. The implementation of machine health management within the smart factory are discussed in terms of data connectivity, communications, Cyber-physical system (CPS) and virtual factory, addressing Internet of things (IoT), cloud computing, and big data management.