Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality
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...
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Main Authors: | Lughofer, Edwin, Pollak, Robert, Zavoianu, Alexandru-Ciprian, Pratama, Mahardhika, Meyer-Heye, Pauline, Zörrer, Helmut, Eitzinger, Christian, Haim, Julia, Radauer, Thomas |
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其他作者: | School of Computer Science and Engineering |
格式: | Article |
語言: | English |
出版: |
2020
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在線閱讀: | https://hdl.handle.net/10356/139705 |
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