contributor author | Jaime A. Camelio | |
contributor author | S. Jack Hu | |
date accessioned | 2017-05-09T00:13:42Z | |
date available | 2017-05-09T00:13:42Z | |
date copyright | February, 2004 | |
date issued | 2004 | |
identifier issn | 1087-1357 | |
identifier other | JMSEFK-27800#91_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/130420 | |
description abstract | This paper presents a new approach to multiple fault diagnosis for sheet metal fixtures using designated component analysis (DCA). DCA first defines a set of patterns based on product/process information, then finds the significance of these patterns from the measurement data and maps them to a particular set of faults. Existing diagnostics methods has been mainly developed for rigid-body-based 3-2-1 locating scheme. Here an N-2-1 locating scheme is considered since sheet metal parts are compliant. The proposed methodology integrates on-line measurement data, part geometry, fixture layout and sensor layout in detecting simultaneous multiple fixture faults. A diagnosability discussion for the different type of faults is presented. Finally, an application of the proposed method is presented through a computer simulation. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Multiple Fault Diagnosis for Sheet Metal Fixtures Using Designated Component Analysis | |
type | Journal Paper | |
journal volume | 126 | |
journal issue | 1 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.1643076 | |
journal fristpage | 91 | |
journal lastpage | 97 | |
identifier eissn | 1528-8935 | |
keywords | Jigs and fixtures | |
keywords | Fault diagnosis | |
keywords | Sheet metal | |
keywords | Failure AND Sensors | |
tree | Journal of Manufacturing Science and Engineering:;2004:;volume( 126 ):;issue: 001 | |
contenttype | Fulltext | |