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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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40371/ 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 |
| _version_ | 1848826030076198912 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:38:20Z |
| format | Conference or Workshop Item |
| id | ump-40371 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:38:20Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 (Published) https://doi.org/10.1109/ICSECS58457.2023.10256355 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/40371/ http://umpir.ump.edu.my/id/eprint/40371/ 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 |