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Condition Monitoring and Fault Detection for Electrical Machines Using IOT

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Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2 (FTC 2022 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 560))

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Abstract

Internet of Things (IoT) has become the need of the hour with the recent advancement in technology. The emergence of new technologies has helped to communicate between different machines and it has become easier to interact with them. This has helped with the reduction of maintenance costs and the time needed to fix the machine. Furthermore, it is necessary to monitor the impact of surrounding factors on electrical machines and detect any faults as soon as possible. With the integration of artificial intelligence and IoT, a system can be built to help detect faults as soon as it happens and help contain the impacts of such faults. In this research, a low-cost, efficient method to monitor any electrical machine and detect faults in real-time is being explored, which can help reduce maintenance charges. In addition, it can also help reduce the impact of the generated fault. For the research purpose, the setup consists of an induction motor and broken bars faults are considered for training models and detecting faults in real-time.

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Authors and Affiliations

  1. Tallinn University of Technology, 19086, Tallinn, Estonia

    Hadi Ashraf Raja, Toomas Vaimann, Anton Rassõlkin & Ants Kallaste

Authors
  1. Hadi Ashraf Raja
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  2. Toomas Vaimann
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  3. Anton Rassõlkin
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  4. Ants Kallaste
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Correspondence to Hadi Ashraf Raja .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Raja, H.A., Vaimann, T., Rassõlkin, A., Kallaste, A. (2023). Condition Monitoring and Fault Detection for Electrical Machines Using IOT. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 560. Springer, Cham. https://doi.org/10.1007/978-3-031-18458-1_12

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