Online condition monitoring of wind turbines through three-phase electrical signature analysis

Georgia Cablea 1 Pierre Granjon 1 Christophe Bérenguer 1 Pascal Bellemain 2, 1
1 GIPSA-SAIGA - SAIGA
GIPSA-DA - Département Automatique, GIPSA-DIS - Département Images et Signal
2 GIPSA-Services - GIPSA-Services
GIPSA-lab - Grenoble Images Parole Signal Automatique
Abstract : In the context of the KAStrion European project, a complete solution was proposed in order to monitor wind turbines. The developed solution comprises both hardware and software parts of the condition monitoring system. In terms of software, modules for vibration analysis and electrical signal analysis have been developed. The current paper presents the electrical analysis solution proposed in the context of this project. The electrical module is able to detect both mechanical and electrical faults in a wind turbine system. The goal of the mechanical fault detection using electrical signals is to confirm the faults also detected by vibration analysis, while the main focus of the module remains the detection of electrical faults. Results showing the performance of mechanical fault detection are presented using electrical signals acquired on the test-bench developed for testing the KAStrion system. Moreover, results regarding the electrical unbalance are presented using signals acquired on a three-phase transformer. The final solution has been implemented on two onshore wind turbines since the end of 2014, and online condition monitoring results are presented at the end of the paper.
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Georgia Cablea, Pierre Granjon, Christophe Bérenguer, Pascal Bellemain. Online condition monitoring of wind turbines through three-phase electrical signature analysis. The International Journal of Condition Monitoring, the British Institute of Non-Destructive Testing, 2016, 6 (3), pp.66-72. ⟨10.1784/204764216819708087⟩. ⟨hal-01540338⟩

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