Tackling the Paper Sheet-Break Challenge
Understand how to apply deep learning techniques to predict rare events in industrial settings by focusing on the paper sheet-break problem. Learn about the manufacturing process, the causes of sheet breaks, and the challenges of imbalanced data. This lesson equips you with practical insights for developing predictive models that can minimize costly downtime and improve safety in continuous production environments.
We'll cover the following...
In this lesson, we’ll explore the paper sheet-break problem as a practical application of the predictive methods we’ll discuss, demonstrating their potential to solve real-world rare event problems.
What’s the paper sheet-break problem?
A paper sheet-break problem in paper manufacturing is taken from Ranjan et al. 2018 as a working example in this course. The methods developed in the upcoming sections will be applied to a sheet-break dataset.
The sheet-break working example is described and used for developing a perspective. The formulation and developed methods apply to other rare event problems as well.
Problem motivation
Paper sheet break at paper mills is a critical problem. On average, the mill witnesses more than one sheet break every day. The average is even ...