Conveners
Process 3
- Chair: Sven Knoth (Helmut Schmidt University Hamburg, Germany)
Imbalanced classes often occur in classification tasks including process industry applications. This scenario usually results in the overfitting of the majority classes. Imbalanced data techniques are then commonly used to overcome this issue. They can be grouped into sampling procedures, cost-sensitive strategies and ensemble learning. This work investigates some of them for the...
We address a real case study of Statistical Process Monitoring (SPM) of a Surface Mount Technology (SMT) production line at Bosch Car Multimedia, where more than 17 thousand product variables are collected for each product. The basic assumption of SPM is that all relevant “common causes” of variation are represented in the reference dataset (Phase 1 analysis). However, we argue and demonstrate...
This contribution is a joint work of academicians and a research group of STMicroelectronics (Italy) a leading industry in semiconductor manufacturing.
The problem under investigation refers to a predictive maintenance manufacturing system in Industry 4.0. Modern predictive maintenance is a condition-driven preventive maintenance program that uses possibly huge amount of data for monitoring...