Publication: Condition-based monitoring of vibrating beam structure using iot with cloud data analysis
| datacite.subject.fos | oecd::Engineering and technology::Mechanical engineering | |
| dc.contributor.author | Amirul Azhajzul bin Gilok | |
| dc.date.accessioned | 2026-01-14T04:04:25Z | |
| dc.date.available | 2026-01-14T04:04:25Z | |
| dc.date.issued | 2023-07 | |
| dc.description.abstract | Condition-based monitoring (CBM) has emerged as a powerful real-time technique for monitoring structural conditions, enabling proactive maintenance and minimising downtime. By leveraging the Internet of Things (IoT) and cloud data analysis, CBM can significantly enhance the reliability and performance of industrial machinery, resulting in cost savings and improved efficiency in the manufacturing process. In this study, we focus on the vibration analysis of a beam structure with the attachment of an unbalanced motor using CBM method. The objective is to investigate the effectiveness of CBM in detecting potential issues and monitoring the condition of the machinery. To achieve this, an IoT-based system was developed, integrating sensors to collect vibration data from the structure. The collected data is then processed and analysed using a cloud-based system. The primary aim of this research is to utilise the results obtained from the analysis of the testbench's natural frequencies, mode shapes, and dynamic responses in developing a comprehensive CBM system. This system will continuously monitor the machine's condition, allowing for early detection of anomalies or potential failures. By leveraging the insights provided by CBM, maintenance activities can be scheduled proactively, reducing the risk of unexpected breakdowns and minimising downtime. The study employs advanced data analysis techniques, combining IoT technologies and cloud-based systems, to extract valuable information from the collected vibration data. The obtained results will refine the CBM system and improve its accuracy and effectiveness in monitoring the machine's condition. The significance of this study lies in its potential to revolutionise maintenance practices in industrial settings. By implementing CBM method, companies can transition from reactive maintenance to proactive and predictive strategies. This shift enhances the reliability and performance of machinery and contributes to cost savings and improved operational efficiency. In conclusion, this research focuses on implementing CBM using IoT and cloud data analysis to monitor a beam structure's vibration with an attached unbalanced motor. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/23429 | |
| dc.language.iso | en | |
| dc.title | Condition-based monitoring of vibrating beam structure using iot with cloud data analysis | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |