Yahya Mohammed, Al-Naggar and Norlida, Jamil and Mohd Firdaus, Hassan and Ahmad Razlan, Yusoff (2021) Condition monitoring based on IoT for predictive maintenance of CNC machines. In: Procedia CIRP: 18th CIRP Conference on Modelling of Machining Operations , 15-17 Jun 2021 , Ljubljana, Slovenia. pp. 314-318., 102. ISSN 2212-8271
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6. Condition monitoring based on IoT for predictive maintenance of CNC machines.pdf Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (797kB) | Preview |
Abstract
Machining operation must be maintained for a long time in every period to achieve high productivity and prevent sudden failure or breakdown. This study aims to monitor conditions of four CNC machines from different places simultaneously using Internet of things (IoT) for predictive maintenance. Vibration signals of four CNC machines are measured using an accelerometer to collect and send signals directly to the database in real time. Results showed that acceleration signal in both time and frequency domains can identify conditions of each machine in real time and simultaneously monitor the condition of four CNC machines at different places through IoT for predictive maintenance.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by SCOPUS |
| Uncontrolled Keywords: | Predictive maintenance; Condition monitoring; Internet of Thing; svibration monitoring |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Institute of Postgraduate Studies College of Engineering Faculty of Manufacturing and Mechatronic Engineering Technology Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 24 Feb 2022 03:39 |
| Last Modified: | 23 Feb 2023 08:02 |
| URI: | http://umpir.ump.edu.my/id/eprint/32828 |
| Download Statistic: | View Download Statistics |
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