Design of a Database-Driven Quality Predictor for Painting Systems
Author:
Affiliation:
1. Hiroshima University; 1-4-1, Kagamiyama, Higashi-Hiroshima,Graduate School of Advanced Science and Engineering,Hiroshima,Japan,739-8527
2. KOBELCO Construction Machinery Co., Ltd.; 2-2-1, Itsukaichikou, Saeki-ku,Hiroshima,Japan,731-5161
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9894047/9894052/09894258.pdf?arnumber=9894258
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1. Correlation-based Just-In-Time Modeling for Softsensor Design
2. Quality control of polymer production processes
3. Pattern Recognition and Machine Learning;bishop;Springer New York,2006
4. Design of a Database-Driven Soft Sensor;kano;Proceedings of the SICE Annual Conference,2021
5. Optimum quality design system for steel products through locally weighted regression model
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1. SCADA System for Realtime Hanger Management Experiment in Painting Process;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31
2. Design of Determining the Operating Condition Based on the Just-in-Time Method for Painting System;IEEJ Transactions on Electronics, Information and Systems;2023-07-01
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