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...
Main Authors: | Lughofer, Edwin, Pollak, Robert, Zavoianu, Alexandru-Ciprian, Pratama, Mahardhika, Meyer-Heye, Pauline, Zörrer, Helmut, Eitzinger, Christian, Haim, Julia, Radauer, Thomas |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139705 |
Similar Items
-
Autonomous supervision and optimization of product quality in a multi-stage manufacturing process based on self-adaptive prediction models
by: Lughofer, Edwin, et al.
Published: (2021) -
Incremental rule splitting in generalized evolving fuzzy systems for autonomous drift compensation
by: Lughofer, Edwin, et al.
Published: (2020) -
Evolving ensemble fuzzy classifier
by: Pratama, Mahardhika, et al.
Published: (2019) -
DEVDAN: Deep evolving denoising autoencoder
by: Ashfahani, Andri, et al.
Published: (2022) -
Online tool condition monitoring based on parsimonious ensemble
by: Pratama, Mahardhika, et al.
Published: (2021)