Staff View: Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis

Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis

The rotating shaft, commonly known as an axle, plays a crucial role in enabling rotational motion and power transmission within industrial rotating machines. However, assessing the condition of a rotating shaft presents a significant challenge due to its concealed nature. Traditionally, manual inspe...

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Main Authors:	Nur Afiqah, Mohd Azman, Mohd Izham, Mohd Jaya, Azlee, Zabidi
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/40371/1/Real-time%20fault%20diagnostic%20in%20rotating%20shaft.pdf http://umpir.ump.edu.my/id/eprint/40371/2/Real-time%20fault%20diagnostic%20in%20rotating%20shaft%20using%20IoT-based%20architecture%20and%20fuzzy%20logic%20analysis_ABS.pdf http://umpir.ump.edu.my/id/eprint/40371/ https://doi.org/10.1109/ICSECS58457.2023.10256355
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id	my.ump.umpir.40371
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spelling	my.ump.umpir.403712024-04-16T04:17:04Z http://umpir.ump.edu.my/id/eprint/40371/ Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis Nur Afiqah, Mohd Azman Mohd Izham, Mohd Jaya Azlee, Zabidi QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The rotating shaft, commonly known as an axle, plays a crucial role in enabling rotational motion and power transmission within industrial rotating machines. However, assessing the condition of a rotating shaft presents a significant challenge due to its concealed nature. Traditionally, manual inspections by technicians have been relied upon to detect potential damage, resulting in time-consuming processes and potential delays in fault diagnostic. To address this issue, this paper proposes an IoT-based architecture integrated with fuzzy logic to enable real-time fault diagnostic in rotating shaft. By employing fuzzy logic classification based on vibration frequency and noise analysis, the system accurately determines the condition of the rotating shaft. Experimental results confirm the successful implementation of the proposed system, providing valuable insights into the current condition of the rotating shaft. This real-time approach enables proactive maintenance strategies and mitigates the risk of unexpected industrial machine failures. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40371/1/Real-time%20fault%20diagnostic%20in%20rotating%20shaft.pdf pdf en http://umpir.ump.edu.my/id/eprint/40371/2/Real-time%20fault%20diagnostic%20in%20rotating%20shaft%20using%20IoT-based%20architecture%20and%20fuzzy%20logic%20analysis_ABS.pdf Nur Afiqah, Mohd Azman and Mohd Izham, Mohd Jaya and Azlee, Zabidi (2023) Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 240-245. (192961). ISBN 979-835031093-1 https://doi.org/10.1109/ICSECS58457.2023.10256355
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English English
topic	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Nur Afiqah, Mohd Azman Mohd Izham, Mohd Jaya Azlee, Zabidi Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis
description	The rotating shaft, commonly known as an axle, plays a crucial role in enabling rotational motion and power transmission within industrial rotating machines. However, assessing the condition of a rotating shaft presents a significant challenge due to its concealed nature. Traditionally, manual inspections by technicians have been relied upon to detect potential damage, resulting in time-consuming processes and potential delays in fault diagnostic. To address this issue, this paper proposes an IoT-based architecture integrated with fuzzy logic to enable real-time fault diagnostic in rotating shaft. By employing fuzzy logic classification based on vibration frequency and noise analysis, the system accurately determines the condition of the rotating shaft. Experimental results confirm the successful implementation of the proposed system, providing valuable insights into the current condition of the rotating shaft. This real-time approach enables proactive maintenance strategies and mitigates the risk of unexpected industrial machine failures.
format	Conference or Workshop Item
author	Nur Afiqah, Mohd Azman Mohd Izham, Mohd Jaya Azlee, Zabidi
author_facet	Nur Afiqah, Mohd Azman Mohd Izham, Mohd Jaya Azlee, Zabidi
author_sort	Nur Afiqah, Mohd Azman
title	Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis
title_short	Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis
title_full	Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis
title_fullStr	Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis
title_full_unstemmed	Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis
title_sort	real-time fault diagnostic in rotating shaft using iot-based architecture and fuzzy logic analysis
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
url	http://umpir.ump.edu.my/id/eprint/40371/1/Real-time%20fault%20diagnostic%20in%20rotating%20shaft.pdf http://umpir.ump.edu.my/id/eprint/40371/2/Real-time%20fault%20diagnostic%20in%20rotating%20shaft%20using%20IoT-based%20architecture%20and%20fuzzy%20logic%20analysis_ABS.pdf http://umpir.ump.edu.my/id/eprint/40371/ https://doi.org/10.1109/ICSECS58457.2023.10256355
_version_	1822924224861306880
score	13.23243

Real-time fault diagnostic in rotating shaft using IoT-based architecture and fuzzy logic analysis

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