dc.contributor.author | R C Gilbert | |
dc.contributor.author | S Raman | |
dc.contributor.author | T B Trafalis | |
dc.date.accessioned | 2016-01-14T19:53:55Z | |
dc.date.accessioned | 2016-03-30T15:31:15Z | |
dc.date.available | 2016-01-14T19:53:55Z | |
dc.date.available | 2016-03-30T15:31:15Z | |
dc.date.issued | 2010-06-01 | |
dc.identifier.citation | Gilbert, R. C., Raman, S., & Trafalis, T. B. (2010). Form inspection using kernel methods. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 224(6), 847-852. doi: 10.1243/09544054jem1433 | en_US |
dc.identifier.uri | https://hdl.handle.net/11244/25522 | |
dc.description.abstract | Form inspection of non-linear surfaces is a difficult task as suitable analytical models are often unavailable. This paper presents a mathematical model for surface inspection of face-milled plates and determination of the minimum zone based on a modification of the support vector machine (SVM) technique. The SVM approach is reformulated to regression problems using a different methodology than the ‘largest margin’ paradigm. In addition, this work derives extremely simple quadratic programming (QP) problems that allow for general symbolic solutions to non-linear regression problems. The results obtained from preliminary testing allow identification of processing tendencies so that a selective sampling procedure may be applied for inspecting future plates from that lot. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | |
dc.subject | support vector machines | en_US |
dc.subject | regression | en_US |
dc.subject | kernel methods | en_US |
dc.subject | face milled plates | en_US |
dc.subject | surface inspection | en_US |
dc.title | Form inspection using kernel methods | en_US |
dc.type | Research Article | en_US |
dc.description.peerreview | Yes | en_US |
dc.description.peerreviewnotes | https://us.sagepub.com/en-us/nam/manuscript-submission-guidelines | en_US |
dc.identifier.doi | 10.1243/09544054jem1433 | en_US |
dc.rights.requestable | false | en_US |