Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing
| dc.contributor.author | Liška, Jindřich | |
| dc.contributor.author | Jakl, Jan | |
| dc.contributor.author | Vašíček, Vojtěch | |
| dc.contributor.author | Míšek, Tomáš | |
| dc.contributor.author | Václav, Polreich | |
| dc.date.accessioned | 2023-02-13T11:00:18Z | |
| dc.date.available | 2023-02-13T11:00:18Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract-translated | 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. | en |
| dc.format | 8 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.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 | cs |
| dc.identifier.document-number | 871871300099 | |
| dc.identifier.doi | 10.1007/978-3-031-07322-9_99 | |
| dc.identifier.isbn | 978-3-031-07321-2 | |
| dc.identifier.issn | 2366-2557 | |
| dc.identifier.obd | 43936362 | |
| dc.identifier.uri | 2-s2.0-85134333464 | |
| dc.identifier.uri | http://hdl.handle.net/11025/51441 | |
| dc.language.iso | en | en |
| dc.project.ID | EF16_026/0008389/LoStr: Výzkumná spolupráce pro dosažení vyšší účinnosti a spolehlivosti lopatkových strojů | cs |
| dc.publisher | Springer Nature Switzerland | en |
| dc.relation.ispartofseries | European Workshop on Structural Health Monitoring EWSHM 2022 - Volume 3 | en |
| dc.rights | Plný text není přístupný. | cs |
| dc.rights | © The Author(s), under exclusive licence to Springer Nature B.V. | en |
| dc.rights.access | closedAccess | en |
| dc.subject.translated | Blade vibration | en |
| dc.subject.translated | High cycle fatigue | en |
| dc.subject.translated | Remote monitoring | en |
| dc.subject.translated | Steam turbine | en |
| dc.title | Real-Time Remote Monitoring of Steam Turbine Blades Based on High Cycle Fatigue Module and Cloud Computing | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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