Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Cause and effect diagram of the “generator brush worn” fault
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Samples of worn out carbon brushes
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Distribution of generator brush worn out faults across 27 wind turbines
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Identifying Tomek links
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Iterative sampling of dataset t + 21 using Tomek links
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Process flow for random forest based data sampling approach
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: Boosted tree plot of prediction error function for dataset t + 21
Date of download: 10/5/2017 Copyright © ASME. All rights reserved. From: Fault Monitoring of Wind Turbine Generator Brushes: A Data-Mining Approach J. Sol. Energy Eng. 2012;134(2):021001-021001-9. doi:10.1115/1.4005624 Figure Legend: The relative contribution of f_measure corresponding to different data sampling techniques