Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Performance and FMECA of a wind turbine based on SCADA and lidar data
This paper presents an approach to identify risks for different failures that could affect wind turbine performance, and reduce the measured annual electrical production (MAEP). The proposed approach is based on FMECA (failure mode, effects and criticality analysis) and wind turbine performance study. We present firstly the methodology of performance calculation based on IEC 61400 standard, then we identify the energy gap between the MAEP and WAEP for the case study, we present an extended and reviewed FMECA, by introducing definition of factors related to environment, health and security. As a result we present an actions plan for similar failures deduced from wind performance study and risk-based FMECA, in order to reduce failure risks and optimize production by consequence. The case study is a 2.3 MW onshore wind turbine, different data that are used in this paper were collected from SCADA and lidar.
Performance and FMECA of a wind turbine based on SCADA and lidar data
This paper presents an approach to identify risks for different failures that could affect wind turbine performance, and reduce the measured annual electrical production (MAEP). The proposed approach is based on FMECA (failure mode, effects and criticality analysis) and wind turbine performance study. We present firstly the methodology of performance calculation based on IEC 61400 standard, then we identify the energy gap between the MAEP and WAEP for the case study, we present an extended and reviewed FMECA, by introducing definition of factors related to environment, health and security. As a result we present an actions plan for similar failures deduced from wind performance study and risk-based FMECA, in order to reduce failure risks and optimize production by consequence. The case study is a 2.3 MW onshore wind turbine, different data that are used in this paper were collected from SCADA and lidar.
Performance and FMECA of a wind turbine based on SCADA and lidar data
Bennouk, A. (Autor:in) / Nejmi, A. (Autor:in) / Ramzi, M. (Autor:in)
01.08.2019
oai:zenodo.org:3926947
International Journal of Applied Power Engineering 8(2) 101-109
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
FMECA , WAEP , Wind turbine , MAEP , Performance
DDC:
690
Using high-frequency SCADA data for wind turbine performance monitoring: a sensitivity study
BASE | 2018
|Performance assessment of a wind turbine using SCADA based Gaussian Process model
BASE | 2018
|Wind Turbine Structural Health Monitoring: A Short Investigation Based on SCADA Data
British Library Conference Proceedings | 2014
|Multivariate SCADA data analysis methods for real-world wind turbine power curve monitoring
BASE | 2021
|