Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965363" target="_blank" >RIV/49777513:23520/22:43965363 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-07322-9_99" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-07322-9_99</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-07322-9_99" target="_blank" >10.1007/978-3-031-07322-9_99</a>
Alternative languages
Result language
angličtina
Original language name
Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing
Original language description
Structural health monitoring is a fundamental task to evaluate the condition of the structure and ensure an early detection of any material failure. This is important especially in highly stressed parts of a structure. In turbomachinery, it is in particular a rotating blade that must withstand the action of superheated steam flow. Excessive tension acting in a blade can then decrease its residual life that indicates the structural health of the blade. For the purpose of structural health monitoring of the rotating blades the high cycle fatigue (HCF) analysis tool was developed and is introduced in this paper. The HCF module is based on data processing of signals acquired using blade tip timing (BTT) system and provides the residual life of the blades in several critical points, defined along the blade body. The introduced HCF module was integrated into remote monitoring system (RMS) developed by the authors of this paper. The HCF module together with RMS is described in this paper in detail. The benefits of remote sensing are highlighted as well. Until today, tens of power plants worldwide are involved in presented RMS.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF16_026%2F0008389" target="_blank" >EF16_026/0008389: Research Cooperation for Higher Efficiency and Reliability of Blade Machines</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
European Workshop on Structural Health Monitoring EWSHM 2022 - Volume 3
ISBN
978-3-031-07321-2
ISSN
2366-2557
e-ISSN
2366-2565
Number of pages
8
Pages from-to
982-989
Publisher name
Springer Nature Switzerland
Place of publication
Palermo
Event location
Palermo, Itálie
Event date
Jul 4, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000871871300099