Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing-Reference-Cited by-同舟云学术

Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing

Published:2022-06-22 Issue: Volume: Page:982-989
ISSN:2366-2557
Container-title:Lecture Notes in Civil Engineering
language:
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Author:

Liska Jindrich,Jakl Jan,Vasicek Vojtech,Misek Tomas,Polreich Vaclav

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07322-9_99

Reference5 articles.

1. Liska, J., Vasicek, V., Kas, M.: Real-time remote monitoring of power plants in terms of IIoT and cloud computing. In: The 12th International Workshop on Structural Health Monitoring, Stanford, USA (2019). ISBN 978-1-60595-601-5

2. Kubin, Z.: Calibration methodology of non-contact monitoring of steam turbine rotating blades. A dissertation. University of West Bohemia in Pilsen, Faculty of Cybernetics. Pilsen, Czech Republic (2018)

3. Heath, S., Imregun, M.: A survey of blade tip-timing measurement techniques for turbomachinery vibration. J. Eng. Gas Turbines Power 120, 784–791 (1998)

4. Hectors, K., De Waele, W.: Cumulative damage and life prediction models for high-cycle fatigue of metals: a review. Metals 11(2), 204 (2021)

5. Sridhar, S., Ravisankar, K., Parivallal, S., Murthy, S.G.N., Kesevan, K.: Structural health monitoring development of a real-time remote structural monitoring scheme for civil infrastructural systems. Struct. Health Monit. 8(6), 509–513 (2009)

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