Exceedance probability estimation for a quality test consisting of multiple measurements

An online quality monitoring tool for information acquisition and sharing in manufacturing: requirements and solutions for the steel industry

“…They used soft sensors for quality prediction, optimization for operating conditions improvement, and multivariate statistical process control (MSPC) for fault detection in a steel industry application. During the last two decades, neural networks have been widely used for process modelling and quality prediction as well (Boukezzi, 2017;Bhadesia H., 1999;Tamminen et al, 2013). Also Bayesian decision theory can provide solutions for simple systems, such as monitoring the condition of the manufacturing equipment (Rashidi and Jenab, 2013).…”

“…Neural networks have been a popular method for modelling data with complex relationships between variables (Boukezzi, 2017;Bhadesia H., 1999;Tamminen et al, 2013). Lately, ensemble algorithms have risen to challenge them with equal accuracy, faster learning, tendency to reduce bias and variance, but also higher tendency to overfit.…”

AI Enhanced Alarm Presentation for Quality Monitoring

“…Over the years, neural networks have been a popular method for modelling data with complex relations between variables [18], [19]. Lately, ensemble algorithms have risen to challenge them with equal accuracy, faster learning, tendency to reduce bias and variance, and also lower tendency to over-fit.…”