Classifying disc defects in optical disc drives by using time-series clustering

J. Helvoirt, van, G.A.L. Leenknegt, M. Steinbuch, H.J. Goossens

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Optical disc drives are subject to various disturbancesand faults. A special type of fault is the so-calleddisc defect. In this paper we present an approach for discdefect classification. It is based on hierarchical clustering ofmeasured signals that are affected by disc defects. The timeseriesare mapped into a feature space after which the featurevectors are clustered in a hierarchical fashion. Finally, signalsare fitted onto the clusters to obtain single representationsfor each fault class. The resulting class descriptions can thenbe used for (on-line) classification of new disc defects. Theapproach is evaluated by applying it to a set of test data.
Original languageEnglish
Title of host publicationProceedings of the 2004 American control conference, ACC : June 30 - July 2, 2004, Boston, Massachusetts
Place of PublicationUnited States, Boston
Pages3100-3105
Publication statusPublished - 2004

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