Computer-based management of interactive data transformation systems using Taguchi's robust parameter design.
Saved in:
| Title: | Computer-based management of interactive data transformation systems using Taguchi's robust parameter design. |
|---|---|
| Authors: | Luangpaiboon, Pongchanun1 (AUTHOR) lpongch@engr.tu.ac.th, Chinda, Keerati1 (AUTHOR) |
| Source: | International Journal of Computer Integrated Manufacturing. Oct2015, Vol. 28 Issue 10, p1030-1045. 16p. 1 Black and White Photograph, 1 Diagram, 9 Charts, 14 Graphs. |
| Subjects: | Computer managed instruction, Data transformations (Statistics), Taguchi methods, Parameter estimation, Particle swarm optimization |
| Abstract: | The Taguchi design method, which uses orthogonal arrays to study the quality of characteristics using only a small number of experiments, produces outstanding outcomes when applied to industrial processes. However, nearly all industrial data is concealed via interactive data transformations, for which Box-Cox, arcsine and logit with computer-based management are proposed. The efficiency of each transformation based on the mean and signal-to-noise ratio was investigated for a different number of replicates and noise levels on the response. A total of four simulated scenarios each with 100 noisy data sets were used to examine the system performance. The numerical results indicate that Box-Cox and arcsine transformations are superior to logit transformations. Moreover, the analytical outcomes from the interactive ranges of transformation parameters via the hybridisation of variable neighbourhood search and particle swarm optimisation methods were a close fit to the natural data. In an actual computer-based application of the interactive data transformation system for a ball swaging process, Box-Cox and arcsine transformations followed the simulated numerical data and provided much more appropriate outcomes closer to the natural data. The target of a gram load control was then met via process parameters with higher levels of ranking results of contribution ratio, as expected from the natural data. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 111008902 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Computer-based management of interactive data transformation systems using Taguchi's robust parameter design. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Luangpaiboon%2C+Pongchanun%22">Luangpaiboon, Pongchanun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lpongch@engr.tu.ac.th</i><br /><searchLink fieldCode="AR" term="%22Chinda%2C+Keerati%22">Chinda, Keerati</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Integrated+Manufacturing%22">International Journal of Computer Integrated Manufacturing</searchLink>. Oct2015, Vol. 28 Issue 10, p1030-1045. 16p. 1 Black and White Photograph, 1 Diagram, 9 Charts, 14 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+managed+instruction%22">Computer managed instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transformations+%28Statistics%29%22">Data transformations (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Taguchi+methods%22">Taguchi methods</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Taguchi design method, which uses orthogonal arrays to study the quality of characteristics using only a small number of experiments, produces outstanding outcomes when applied to industrial processes. However, nearly all industrial data is concealed via interactive data transformations, for which Box-Cox, arcsine and logit with computer-based management are proposed. The efficiency of each transformation based on the mean and signal-to-noise ratio was investigated for a different number of replicates and noise levels on the response. A total of four simulated scenarios each with 100 noisy data sets were used to examine the system performance. The numerical results indicate that Box-Cox and arcsine transformations are superior to logit transformations. Moreover, the analytical outcomes from the interactive ranges of transformation parameters via the hybridisation of variable neighbourhood search and particle swarm optimisation methods were a close fit to the natural data. In an actual computer-based application of the interactive data transformation system for a ball swaging process, Box-Cox and arcsine transformations followed the simulated numerical data and provided much more appropriate outcomes closer to the natural data. The target of a gram load control was then met via process parameters with higher levels of ranking results of contribution ratio, as expected from the natural data. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=111008902 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0951192X.2014.941940 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1030 Subjects: – SubjectFull: Computer managed instruction Type: general – SubjectFull: Data transformations (Statistics) Type: general – SubjectFull: Taguchi methods Type: general – SubjectFull: Parameter estimation Type: general – SubjectFull: Particle swarm optimization Type: general Titles: – TitleFull: Computer-based management of interactive data transformation systems using Taguchi's robust parameter design. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Luangpaiboon, Pongchanun – PersonEntity: Name: NameFull: Chinda, Keerati IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 0951192X Numbering: – Type: volume Value: 28 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Computer Integrated Manufacturing Type: main |
| ResultId | 1 |
