AWS for Industries
Author: Rohan Thavarajah
Rohan Thavarajah is an AI/ML engineer at QRI where he develops machine learning platforms for performant, code-free modeling of tabular and timeseries data. His research interests are in deep learning for sequential tasks and probabilistic programming.
Predicting the failure of turbofan engines using SpeedWise Machine Learning.
1. Introduction Equipment failure imposes an enormous burden on industry. It is estimated that unplanned downtime reduces plant productive capacity by between 5 and 20 percent and costs industrial manufacturers $50 billion annually. The cost to repair or replace equipment may be significant, but the true cost of unplanned equipment failure is its consequences. The […]