TuLAUT data

Data sets from CPS for ML applications

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Time series prediction on data from PCB production

Description

In the file furnace_blanked.csv are excerpts, which were removed from the original fur- nace data set. In addition, gaps were inserted afterwards, which appear in regular intervals and are always two minutes long. The gaps are characterized by the fact that they have a value of -13.37. Additionally, zeros have been inserted after the gaps to prevent data from the future being used. The goal is to predict the original values of the gaps as best as possible. The source code as well as the completed furnace_blanked.csv file with the filled gaps must be submitted.

PCB Pred

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