2012 | OriginalPaper | Chapter
14. Online Quality Control with Flexible Evolving Fuzzy Systems
Authors : Edwin Lughofer, Christian Eitzinger, Carlos Guardiola
Published in: Learning in Non-Stationary Environments
Publisher: Springer New York
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Abstract
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The first one is based on visual inspection of production items and therefore can be seen as a postsupervision step whether items or parts of items are ok or not, laying the basis for sorting out of bad products and decreasing customers’ claims.
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The second one is conducted directly during the production process as dealing with a plausibility analysis of process measurements (such as temperatures, pressures, etc.) and therefore opens the possibility of an early intervention for product improvement (internal correction or external reaction).