| contributor author | T. I. Liu | |
| contributor author | S. M. Wu | |
| date accessioned | 2017-05-08T23:33:04Z | |
| date available | 2017-05-08T23:33:04Z | |
| date copyright | August, 1990 | |
| date issued | 1990 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27744#299_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/107170 | |
| description abstract | An on-line system for drill wear detection has been developed by using a sensor fusion strategy. Both acceleration and thrust signals were analyzed. Flank wear area was used to evaluate drill wear states. The drill wear area was measured by a vision system and classified into two groups: usable and worn-out. The wear prediction model was obtained by a two-category linear classifier. On-line detection tests indicate that the prediction model has over a 90 percent success rate. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | On-Line Detection of Drill Wear | |
| type | Journal Paper | |
| journal volume | 112 | |
| journal issue | 3 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.2899590 | |
| journal fristpage | 299 | |
| journal lastpage | 302 | |
| identifier eissn | 1528-8935 | |
| keywords | Wear | |
| keywords | Drills (Tools) | |
| keywords | Thrust | |
| keywords | Signals AND Sensors | |
| tree | Journal of Manufacturing Science and Engineering:;1990:;volume( 112 ):;issue: 003 | |
| contenttype | Fulltext | |