4.5 Article

On Real-Time Fault Detection in Wind Turbines: Sensor Selection Algorithm and Detection Time Reduction Analysis

期刊

ENERGIES
卷 9, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/en9070520

关键词

principal component analysis; hypothesis test; fault detection; sensor selection; FAST

资金

  1. Spanish Ministry of Economy and Competitiveness [DPI2014-58427-C2-1-R]
  2. Catalonia Government [2014 SGR 859]

向作者/读者索取更多资源

In this paper, we address the problem of real-time fault detection in wind turbines. Starting from a data-driven fault detection method, the contribution of this paper is twofold. First, a sensor selection algorithm is proposed with the goal to reduce the computational effort of the fault detection method. Second, an analysis is performed to reduce the data acquisition time needed by the fault detection method, that is, with the goal of reducing the fault detection time. The proposed methods are tested in a benchmark wind turbine where different actuator and sensor failures are simulated. The results demonstrate the performance and effectiveness of the proposed algorithms that dramatically reduce the number of sensors and the fault detection time.

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