ENBIS Spring Meeting 2024

Session

Contributed session

15 May 2024, 13:20

Dortmund

Conveners

Contributed session: 1

• Sven Knoth (Helmut Schmidt University Hamburg, Germany)

37. Anomaly Detection in Ordinal Quality-Related Processes by Control Charts

Prof. Christian Weiß (Helmut Schmidt University)

15/05/2024, 13:20

Spring Meeting

Control charts are a well-known approach for quality improvement and anomaly detection. They are applied to quality-related processes (e.g., metrics of product quality from a monitored manufacturing process) and allow to detect "deviations from normality", i.e., if the process turns from its specified in-control state into an out-of-control state. In this study, we focus on ordinal data...

44. Application of Sign Depth to Point Process Models

Mirko Jakubzik (TU Dortmund University)

15/05/2024, 13:40

Spring Meeting

An important task in reliability studies is the lifetime testing of systems consisting of dependent or interacting components. Since the fatigue of a composite material is largely determined by the failure of its components, its risk of breakdown can be linked to the observable component failure times. These failure times form a simple point process that has numerous applications also in...

61. A Gradient-Enhanced Neural Network as a Surrogate for Elastoplastic Finite Element Analysis

Ali Osman Mert Kilicsoy (TU Dortmund, CRE)

15/05/2024, 14:00

Spring Meeting

When monitoring complex manufacturing processes, various methods, for instance the optimization of observed systems or quantification of their uncertainty, are applied to support and improve the processes. These methods necessitate repeated evaluations of the systems associated responses. While complex numerical models such as finite element models are capable of this, their solutions come...

53. On the trustworthiness of simulation based uncertainty evaluations for industrial measurement instruments like CMMs

Gertjan Kok (VSL)

15/05/2024, 14:20

Spring Meeting

In metrology, the science of measurement, as well in industrial applications in which measurement accuracy is of importance, it is required to evaluate the uncertainty of each measurement. For complex instruments like an industrial work horse as the coordinate measurement machine (CMM), evaluating the uncertainty can be a similarly complex task. To this purpose a simulation model, often...