(204a) Process Learning Data Pipeline for Dealing with the Big Data Challenges
AIChE Spring Meeting and Global Congress on Process Safety
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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