Abstract
In this paper, we propose a network-based boiler tube monitoring system that acquires raw data from multiple acoustic emission (AE) sensors. It can diagnose and monitor the status of boiler tubes in real time. Such a system can help prevent sudden breakdown of boiler tubes installed in thermal power plants. These measures, using the proposed network-based boiler tube monitoring system, can increase the productivity and security of power plants.
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Acknowledgement
This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20161120100350).
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Choi, MG., Kim, JY., Jeong, Ik., Kim, YH., Kim, JM. (2020). A Real-Time Monitoring System for Boiler Tube Leakage Detection. In: Madureira, A., Abraham, A., Gandhi, N., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2018. Advances in Intelligent Systems and Computing, vol 923. Springer, Cham. https://doi.org/10.1007/978-3-030-14347-3_11
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DOI: https://doi.org/10.1007/978-3-030-14347-3_11
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