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|Title:||Features of steam turbines diagnostics|
|Citation:||Features of steam turbines diagnostics / I. Murmanskii, K. Aronson, B. Murmansky, A. Sosnovskii, et al. . — DOI 10.1051/e3sconf/202017801059 // E3S Web of Conferences. — 2020. — Iss. 178. — 1059.|
|Abstract:||Enterprises of energy equipment and operational utilities set sights on diagnostic systems. This is necessary for state control and maintenance planning of steam turbines. It is useful for digitalization purposes too. So far, some mathematical systems are already used. Algorithms for flow part, heat expansion system, control system, vibration-based diagnostics and auxiliary equipment are already designed. We designed algorithms just in principle. Adapting them, for the PT-75/80-90 turbine we met with difficulties. Firstly, we should connect them to a single interface. Secondly, adaptation should include features of the equipment, its state (if not new), even operating conditions. Diagnostic signs for each turbine are the most important. We define them based on the operational data. When adapting the algorithms, we reconsider the signs list. We also estimate its coefficients of importance again. This requires experts to study designs, calculations, and modelling. We also analyzed a large amount of operation data at various power plants. To define the state we use tests. Adapting is based on the modes of a specific power station. Following this strategy, we adapt general algorithms for various turbines. © The Authors, published by EDP Sciences, 2020.|
|Appears in Collections:||Научные публикации, проиндексированные в SCOPUS и WoS CC|
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