Title:	Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing
Authors:	Liška, Jindřich Jakl, Jan Vašíček, Vojtěch Míšek, Tomáš Václav, Polreich
Citation:	LIŠKA, J. JAKL, J. VAŠÍČEK, V. MÍŠEK, T. VÁCLAV, P. Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing. In European Workshop on Structural Health Monitoring EWSHM 2022 - Volume 3. Palermo: Springer Nature Switzerland, 2022. s. 982-989. ISBN: 978-3-031-07321-2 , ISSN: 2366-2557
Issue Date:	2022
Publisher:	Springer Nature Switzerland
Document type:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85134333464 http://hdl.handle.net/11025/51441
ISBN:	978-3-031-07321-2
ISSN:	2366-2557
Keywords in different language:	Blade vibration;High cycle fatigue;Remote monitoring;Steam turbine
Abstract in different language:	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.
Rights:	Plný text není přístupný. © The Author(s), under exclusive licence to Springer Nature B.V.
Appears in Collections:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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