| contributor author | Litao Wang | |
| contributor author | Elijah Kannatey-Asibu | |
| contributor author | Mostafa G. Mehrabi | |
| date accessioned | 2017-05-09T00:10:48Z | |
| date available | 2017-05-09T00:10:48Z | |
| date copyright | February, 2003 | |
| date issued | 2003 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27657#95_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/128755 | |
| description abstract | Sensor selection is important for process monitoring. Each time a machining system is reconfigured, the corresponding monitoring system needs to be re-designed for effective detection of the faults of interest. To accomplish this, a sensor selection methodology is proposed in this paper. Fuzzy theory is utilized for the multi-criteria decision-making process. Evaluation criteria are selected based on a thorough study of fault characteristics. Under subjective criteria, the ratings of different sensors are evaluated using linguistic terms, which are converted to trapezoidal fuzzy numbers. Under objective criteria, the fuzzy performance of each sensor is obtained directly from its specifications. The suitable sensor or sensors can be selected by aggregating and ranking the fuzzy numbers. Sensor selection in the turning process is used to illustrate the proposed methodology. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Method for Sensor Selection in Reconfigurable Process Monitoring | |
| type | Journal Paper | |
| journal volume | 125 | |
| journal issue | 1 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.1531145 | |
| journal fristpage | 95 | |
| journal lastpage | 99 | |
| identifier eissn | 1528-8935 | |
| keywords | Sensors AND Process monitoring | |
| tree | Journal of Manufacturing Science and Engineering:;2003:;volume( 125 ):;issue: 001 | |
| contenttype | Fulltext | |
