Condition monitoring based on IoT for predictive maintenance of CNC machines

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. Vibr...

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Main Authors: Yahya Mohammed, Al-Naggar, Norlida, Jamil, Mohd Firdaus, Hassan, Ahmad Razlan, Yusoff
Format: Conference or Workshop Item
Language:English
Published: Elsevier 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/32828/1/6.%20Condition%20monitoring%20based%20on%20IoT%20for%20predictive%20maintenance%20of%20CNC%20machines.pdf
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author Yahya Mohammed, Al-Naggar
Norlida, Jamil
Mohd Firdaus, Hassan
Ahmad Razlan, Yusoff
author_facet Yahya Mohammed, Al-Naggar
Norlida, Jamil
Mohd Firdaus, Hassan
Ahmad Razlan, Yusoff
author_sort Yahya Mohammed, Al-Naggar
collection UMP
description 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.
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spelling UMPir328282023-02-23T08:02:39Z http://umpir.ump.edu.my/id/eprint/32828/ Condition monitoring based on IoT for predictive maintenance of CNC machines Yahya Mohammed, Al-Naggar Norlida, Jamil Mohd Firdaus, Hassan Ahmad Razlan, Yusoff T Technology (General) TA Engineering (General). Civil engineering (General) 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. Elsevier 2021 Conference or Workshop Item PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/32828/1/6.%20Condition%20monitoring%20based%20on%20IoT%20for%20predictive%20maintenance%20of%20CNC%20machines.pdf 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 (Published) https://doi.org/10.1016/j.procir.2021.09.054
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Yahya Mohammed, Al-Naggar
Norlida, Jamil
Mohd Firdaus, Hassan
Ahmad Razlan, Yusoff
Condition monitoring based on IoT for predictive maintenance of CNC machines
title Condition monitoring based on IoT for predictive maintenance of CNC machines
title_full Condition monitoring based on IoT for predictive maintenance of CNC machines
title_fullStr Condition monitoring based on IoT for predictive maintenance of CNC machines
title_full_unstemmed Condition monitoring based on IoT for predictive maintenance of CNC machines
title_short Condition monitoring based on IoT for predictive maintenance of CNC machines
title_sort condition monitoring based on iot for predictive maintenance of cnc machines
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/32828/1/6.%20Condition%20monitoring%20based%20on%20IoT%20for%20predictive%20maintenance%20of%20CNC%20machines.pdf
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AT mohdfirdaushassan conditionmonitoringbasedoniotforpredictivemaintenanceofcncmachines
AT ahmadrazlanyusoff conditionmonitoringbasedoniotforpredictivemaintenanceofcncmachines