(204a) Process Learning Data Pipeline for Dealing with the Big Data Challenges
AIChE Spring Meeting and Global Congress on Process Safety
2015
2015 AIChE Spring Meeting and 11th Global Congress on Process Safety
Big Data Analytics
Smart Manufacturing Aspects of Big Data
Wednesday, April 29, 2015 - 1:30pm to 1:50pm
To uncover the valuable information from a large amount of process data stored in databases, a process learning data pipeline consisting of transformation, cleaning, re-sampling and exploratory data analysis (EDA) units is built using Python with a graphical user interface (GUI). The pipeline incorporates techniques and knowledge from various fields, such as statistics, computer science, and signal processing. A test case is provided based on industrial data set, and by analyzing the results coming from the pipeline, a better understanding of the process is obtained.
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