| contributor author | Jaime A. Camelio | |
| contributor author | Hyunjune Yim | |
| contributor author | S. Jack Hu | |
| date accessioned | 2017-05-09T00:17:01Z | |
| date available | 2017-05-09T00:17:01Z | |
| date copyright | February, 2005 | |
| date issued | 2005 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27849#68_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/132220 | |
| description abstract | This 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Sensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts | |
| type | Journal Paper | |
| journal volume | 127 | |
| journal issue | 1 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.1828056 | |
| journal fristpage | 68 | |
| journal lastpage | 74 | |
| identifier eissn | 1528-8935 | |
| keywords | Sensors | |
| keywords | Jigs and fixtures | |
| keywords | Patient diagnosis | |
| keywords | Sensor placement AND Noise (Sound) | |
| tree | Journal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 001 | |
| contenttype | Fulltext | |