Deep Machine Learning for Machine Performance and Damage Prediction
08 Aug 2018 | Contributor(s): Elijah Reber, Nickolas D Winovich, Guang Lin
Deep learning has provided opportunities for advancement in many fields. One such opportunity is being able to accurately predict real world events. Ensuring proper motor function and being able to predict energy output is a valuable asset for owners of wind turbines. In this paper, we look at...
Wind Turbine Power Prediction
30 Jul 2018 | Contributor(s): Elijah Reber, Nickolas D Winovich, Guang Lin
This tool uses a trained neural network algorithm to predict the energy output and failure of a wind turbine using sensor data
Predicting Locations of Pollution Sources using Convolutional Neural Networks
07 Aug 2017 | Contributor(s): Yiheng Chi, Nickolas D Winovich, Guang Lin
Pollution is a severe problem today, and the main challenge in water pollution controls and eliminations is detecting and locating pollution sources. This research project aims to predict the locations of pollution sources given diffusion information of pollution in the form of array or...
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