Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality

• المؤلفون الرئيسيون: Lughofer, Edwin, Pollak, Robert, Zavoianu, Alexandru-Ciprian, Pratama, Mahardhika, Meyer-Heye, Pauline, Zörrer, Helmut, Eitzinger, Christian, Haim, Julia, Radauer, Thomas
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Predictive Maintenance; Time-series-Based Forecast Models
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/139705
• المؤسسة: Nanyang Technological University

An important predictive maintenance task in modern production systems is to predict the quality of products in order to be able to intervene at an early stage to avoid faults and waste. Here, we address the prediction of the most important quality criteria in micro-fluidics chips: the flatness and c...