ENGG 390 Reports (MEM Students)
Degree Program
M.E.M
Year of Graduation
2021
Sponsor
Kendra Williams EDP Renewables Houston, TX
Faculty Advisor
John Harris
Document Type
Report
Publication Date
2020
Abstract
Wind turbines sometimes experience faults and stop operating due to various reasons. In order to reduce the occurrence of faults and the loss in power production, EDPR monitors and studies the behavior of sensors on wind turbines. To facilitate analysis for this purpose, this project was developed to download, clean, and visualize data, and then investigate the potential relationships between sensor readings and the occurrence of the fault. The tool returns the major contributors to a fault and is generalized so that it can be used in different locations to analyze different faults.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Qi, Tiantong, "Development of a Statistical Tool for Analyzing Faults in Wind Farms" (2020). ENGG 390 Reports (MEM Students). 101.
https://digitalcommons.dartmouth.edu/engs390/101
Restricted
Available to Dartmouth community via local IP address.