Wavelet transforms and pattern recognition on ultrasonic guides waves for frozen surface state diagnosis
Icing blades require of advanced condition monitoring systems to reduce the failures and downtimes in Wind Turbine Blades (WTB). This paper presents a case study that combines ultrasonic techniques with Wavelet transforms for detecting ice on the blades. Lamb waves were generated with Macro Fibre Co...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/13612 |
| Acceso en línea: | http://hdl.handle.net/10578/13612 |
| Access Level: | acceso abierto |
| Palabra clave: | Icing blades Health monitoring systems Wavelet transform Wind turbines Macro-fiber composites Guided waves |
| Sumario: | Icing blades require of advanced condition monitoring systems to reduce the failures and downtimes in Wind Turbine Blades (WTB). This paper presents a case study that combines ultrasonic techniques with Wavelet transforms for detecting ice on the blades. Lamb waves were generated with Macro Fibre Composites (MFC) and then were collected with MFC. Ice affects to the normal propagation of the wave through the material of the blade. The changes in the signal are due to the forces that ice exercise on the surface. Three different scenarios were considered: at room temperature; the frozen blade without accumulation of ice, and; the frozen blade with accumulation of ice on its surface. The novel approach can determine the state of the WTB. It leads a reduction of costs in inspection, downtime and the appearance of false alarms. |
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