Abstract
The article presents methods and devices for diagnosing heat power equipment. A generalized structure of an intelligent distributed multi-level monitoring and diagnostic system for heat engineering equipment is developed, which is consistent with the principles of the Smart Grid concept. Methods for analyzing information signals in frequency-time and amplitude-phase-frequency regions are proposed, which made it possible to conduct a structural analysis of monopulse signals and signals with locally concentrated changes in parameters that are signs of defects in composite materials of heat power equipment. The structure of the measuring module, its hardware and the parameters of the developed prototype of the diagnostic system are given.
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Zaporozhets, A., Eremenko, V., Serhiienko, R., Ivanov, S. (2019). Methods and Hardware for Diagnosing Thermal Power Equipment Based on Smart Grid Technology. In: Shakhovska, N., Medykovskyy, M. (eds) Advances in Intelligent Systems and Computing III. CSIT 2018. Advances in Intelligent Systems and Computing, vol 871. Springer, Cham. https://doi.org/10.1007/978-3-030-01069-0_34
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DOI: https://doi.org/10.1007/978-3-030-01069-0_34
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