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Outliers effect in measurement data for T-peel adhesion test using Robust parameter design

As many researches focused on application of robust design engineering in practical case study, very less concerned on the criticality to data measurement system in parameter design. This paper will emphasize on the importance to be critical to data obtained during experiment. The existence of outli...

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Main Authors: Dolah, Rozzeta, Miyagi, Zenichi, Bergman, Bo
Format: Article
Language:English
Published: Penerbit UTM 2014
Subjects:
T Technology
Online Access:http://eprints.utm.my/id/eprint/54390/1/RozzetaDolah2014_Outlierseffectinmeasurementdata.pdf
http://eprints.utm.my/id/eprint/54390/
http://dx.doi.org/10.11113/jt.v68.3001
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spelling my.utm.543902018-08-12T03:49:34Z http://eprints.utm.my/id/eprint/54390/ Outliers effect in measurement data for T-peel adhesion test using Robust parameter design Dolah, Rozzeta Miyagi, Zenichi Bergman, Bo T Technology As many researches focused on application of robust design engineering in practical case study, very less concerned on the criticality to data measurement system in parameter design. This paper will emphasize on the importance to be critical to data obtained during experiment. The existence of outliers is often ignored and the impact overlooked, thus endanger the results by producing false alarm and giving completely wrong parameter setting. The optimum condition from the data that contains outliers is compared with the corrected data measurement. The finding presents the indication procedure on how to confirm whether the data is reliable or not for evaluation. The data is unreliable when two main indicators are detected. Firstly, the measurement data plot detects outlier through linear regression analysis as it does not belong on the linear line. Secondly, poor reproducibility presented by estimation and confirmation of signal-to-noise ratio. This failure affects the experimental design and lead to wrong optimum condition. T-peel adhesion test using orthogonal array L9 is done as a case study to elucidate the detection of outlier and outlier effect on optimum condition Penerbit UTM 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54390/1/RozzetaDolah2014_Outlierseffectinmeasurementdata.pdf Dolah, Rozzeta and Miyagi, Zenichi and Bergman, Bo (2014) Outliers effect in measurement data for T-peel adhesion test using Robust parameter design. Jurnal Teknologi (Sciences and Engineering), 68 (4). pp. 77-81. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v68.3001 DOI: 10.11113/jt.v68.3001
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology
spellingShingle T Technology
Dolah, Rozzeta
Miyagi, Zenichi
Bergman, Bo
Outliers effect in measurement data for T-peel adhesion test using Robust parameter design
description As many researches focused on application of robust design engineering in practical case study, very less concerned on the criticality to data measurement system in parameter design. This paper will emphasize on the importance to be critical to data obtained during experiment. The existence of outliers is often ignored and the impact overlooked, thus endanger the results by producing false alarm and giving completely wrong parameter setting. The optimum condition from the data that contains outliers is compared with the corrected data measurement. The finding presents the indication procedure on how to confirm whether the data is reliable or not for evaluation. The data is unreliable when two main indicators are detected. Firstly, the measurement data plot detects outlier through linear regression analysis as it does not belong on the linear line. Secondly, poor reproducibility presented by estimation and confirmation of signal-to-noise ratio. This failure affects the experimental design and lead to wrong optimum condition. T-peel adhesion test using orthogonal array L9 is done as a case study to elucidate the detection of outlier and outlier effect on optimum condition
format Article
author Dolah, Rozzeta
Miyagi, Zenichi
Bergman, Bo
author_facet Dolah, Rozzeta
Miyagi, Zenichi
Bergman, Bo
author_sort Dolah, Rozzeta
title Outliers effect in measurement data for T-peel adhesion test using Robust parameter design
title_short Outliers effect in measurement data for T-peel adhesion test using Robust parameter design
title_full Outliers effect in measurement data for T-peel adhesion test using Robust parameter design
title_fullStr Outliers effect in measurement data for T-peel adhesion test using Robust parameter design
title_full_unstemmed Outliers effect in measurement data for T-peel adhesion test using Robust parameter design
title_sort outliers effect in measurement data for t-peel adhesion test using robust parameter design
publisher Penerbit UTM
publishDate 2014
url http://eprints.utm.my/id/eprint/54390/1/RozzetaDolah2014_Outlierseffectinmeasurementdata.pdf
http://eprints.utm.my/id/eprint/54390/
http://dx.doi.org/10.11113/jt.v68.3001
_version_ 1643653517335855104
score 13.211869

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