4.5 Article

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

Journal

ENERGIES
Volume 9, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/en9070520

Keywords

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

Categories

Funding

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

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available