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Erschienen in:
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2012 | OriginalPaper | Buchkapitel

14. Online Quality Control with Flexible Evolving Fuzzy Systems

verfasst von : Edwin Lughofer, Christian Eitzinger, Carlos Guardiola

Erschienen in: Learning in Non-Stationary Environments

Verlag: Springer New York

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Abstract

This chapter is dealing with the application of flexible evolving fuzzy systems (described in Chap.​ 9) in online quality-control systems and therefore also provides a complete evaluation of these on (noisy) real-world data sets. Hereby, we are tackling with two different types of quality-control applications:
  • 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.
  • 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).
In both scenarios, permanent update of nonlinear fuzzy models/classifiers during online operation based on data streams is an essential issue in order to cope with changing system dynamics, range extensions of measurements and features, and the inclusion of new operating conditions (e.g., fault classes) on demand without requiring time-intensive retraining phases. In the result section of this chapter, we will explicitly highlight the performance gains achieved when using flexible evolving fuzzy systems (EFS) in both quality-control paths.

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Vorheriges Kapitel Optimizing Feature Calculation in Adaptive Machine Vision Systems
Nächstes Kapitel Identification of a Class of Hybrid Dynamic Systems
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Metadaten
Titel
Online Quality Control with Flexible Evolving Fuzzy Systems
verfasst von
Edwin Lughofer
Christian Eitzinger
Carlos Guardiola
Copyright-Jahr
2012
Verlag
Springer New York
Buch
Learning in Non-Stationary Environments

Print ISBN: 978-1-4419-8019-9

Electronic ISBN: 978-1-4419-8020-5

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-1-4419-8020-5_14

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