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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Using Data Visualization To Inform Machine Learning Approaches, Eric N. Zielonka, Aleksandr Fritz
Using Data Visualization To Inform Machine Learning Approaches, Eric N. Zielonka, Aleksandr Fritz
STEM Student Research Symposium Posters
Machine learning with big data is a complicated task to tackle. Using data visualizations, one can find trends, anomalies, and patterns to help select the appropriate approach to the problem in machine learning. Using 2D visualizations, we’ve displayed flight data on interactive maps, visualizing density and property changes in an area. We’ve also used frequency histograms to view the quantitative properties of each point to look for trends. Using scatterplots, anomalies in data collection were found. Other plots confirmed previously found trends and initial thoughts about the data. These visualizations helped inform a machine learning approach to our problem and …
Data Analysis And Processing Techniques For Remaining Useful Life Estimations, John Scott Bucknam
Data Analysis And Processing Techniques For Remaining Useful Life Estimations, John Scott Bucknam
Theses and Dissertations
In the field of engineering, it is important to understand different engineering systems and components, not only in how they currently perform, but also how their performance degrades over time. This extends to the field of prognostics, which attempts to predict the future of a system or component based on its past and present states. A common problem in this field is the estimation of remaining useful life, or how long a system or component functionality will last. The well-known datasets for this problem are the PHM and C-MAPSS datasets. These datasets contain simulated sensor data for different turbofan engines …