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1. 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...

2. 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

3. [Illinois] MCB 493 Lecture 1: Vectors, Matrices, and Basic Neural Computations

   30 Oct 2013 | | Contributor(s):: Thomas J. Anastasio

   Using mathematical and computational methods to simulate many aspects of neural systems function.

4. 

   Charles Augustine

   Charles Augustine (S’08-M’11) received the Bachelors in Electronics from BITS, Pilani, India in 2004 and the PhD degree in Electrical and Computer Engineering from Purdue University in...

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