ENBIS-21 Online Conference

Session

Process 3

PS71_C16

15 Sept 2021, 14:00

Online

Conveners

Process 3

• Chair: Sven Knoth (Helmut Schmidt University Hamburg, Germany)

46. Imbalanced multi-class classification in process industries. Case study: Emission levels of SO2 from an industrial boiler

Mr Tomás Carmo (Federal University of Minas Gerais)

15/09/2021, 14:00

Process

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...

85. A Digital Twin Approach for Statistical Process Monitoring of a High-Dimensional Microelectronic Assembly Process

Marco P. Seabra dos Reis (University of Coimbra, Department of Chemical Engineering)

15/09/2021, 14:20

Process

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...

123. Predictive Maintenance in plasma etching processes: a statistical approach

Riccardo Borgoni (Università di Milano-Bicocca)

15/09/2021, 14:40

Process

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...