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Description
  • In this paper, a control chart is introduced for monitoring various defect types occurring on chenille yarns. To implement the control chart, a grey level image of chenille yarn is captured as an image matrix. Image preprocessing is applied and this involves thresholding to a binary image and a morphological opening operation for removing small objects from the image. The height of the pile yarn, measured from the processed images, is selected as the monitored quality characteristic. Since the monitored quality characteristic was highly autocorrelated, a first-order autoregressive AR(1) model was found to be appropriate for modelling the autocorrelation structure. Due to estimation of the AR(1) process parameters, a modified exponentially weighted moving average (EWMA) control chart for residuals is implemented as a tool for monitoring and detecting defects. It is shown that the modified EWMA control chart can be used successfully for monitoring different types of chenille yarn defects.
  • In this paper, a control chart is introduced for monitoring various defect types occurring on chenille yarns. To implement the control chart, a grey level image of chenille yarn is captured as an image matrix. Image preprocessing is applied and this involves thresholding to a binary image and a morphological opening operation for removing small objects from the image. The height of the pile yarn, measured from the processed images, is selected as the monitored quality characteristic. Since the monitored quality characteristic was highly autocorrelated, a first-order autoregressive AR(1) model was found to be appropriate for modelling the autocorrelation structure. Due to estimation of the AR(1) process parameters, a modified exponentially weighted moving average (EWMA) control chart for residuals is implemented as a tool for monitoring and detecting defects. It is shown that the modified EWMA control chart can be used successfully for monitoring different types of chenille yarn defects. (en)
Title
  • Monitoring chenille yarn defects using image processing with control charts
  • Monitoring chenille yarn defects using image processing with control charts (en)
skos:prefLabel
  • Monitoring chenille yarn defects using image processing with control charts
  • Monitoring chenille yarn defects using image processing with control charts (en)
skos:notation
  • RIV/46747885:24410/12:#0001002!RIV12-MSM-24410___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M06047)
http://linked.open...iv/cisloPeriodika
  • 13
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 151613
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24410/12:#0001002
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Chenille yarn; Exponentially weighted moving average; Control charts; Defect detection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [4585ACCDA1D2]
http://linked.open...i/riv/nazevZdroje
  • TEXTILE RESEARCH JOURNAL
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 81
http://linked.open...iv/tvurceVysledku
  • Bajzík, Vladimír
  • Tunák, Maroš
  • Testik, Murat Caner
http://linked.open...ain/vavai/riv/wos
  • 000293248700004
issn
  • 0040-5175
number of pages
http://bibframe.org/vocab/doi
  • 10.1177/0040517511402123
http://localhost/t...ganizacniJednotka
  • 24410
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