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contributor authorJaime A. Camelio
contributor authorHyunjune Yim
contributor authorS. Jack Hu
date accessioned2017-05-09T00:17:01Z
date available2017-05-09T00:17:01Z
date copyrightFebruary, 2005
date issued2005
identifier issn1087-1357
identifier otherJMSEFK-27849#68_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132220
description abstractThis paper presents a new sensor placement methodology for effective fault diagnosis in an N-2-1 locating scheme used in compliant sheet metal assembly processes. The proposed approach is based on the effective independence (EfI) sensor placement method. The EfI method is a computational algorithm that starts with all feasible sensor locations and reaches the desired number of locations, by progressively eliminating those having the least contributions to the linearly independent manifestation of the fixture faults. The least squares method was adopted to identify fixture faults from measurement data. An automotive panel part was considered to illustrate the suggested methodology. The sensors placed by the EfI method enable the effective identification of multiple fixture faults even in the presence of moderate measurement noise.
publisherThe American Society of Mechanical Engineers (ASME)
titleSensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts
typeJournal Paper
journal volume127
journal issue1
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1828056
journal fristpage68
journal lastpage74
identifier eissn1528-8935
keywordsSensors
keywordsJigs and fixtures
keywordsPatient diagnosis
keywordsSensor placement AND Noise (Sound)
treeJournal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 001
contenttypeFulltext


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