| contributor author | Brian T. Holm-Hansen | |
| contributor author | Li Zhang | |
| contributor author | Robert X. Gao | |
| contributor author | ASME Mem. | |
| date accessioned | 2017-05-09T00:12:27Z | |
| date available | 2017-05-09T00:12:27Z | |
| date copyright | December, 2004 | |
| date issued | 2004 | |
| identifier issn | 0022-0434 | |
| identifier other | JDSMAA-26336#740_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/129710 | |
| description abstract | This paper presents a new, structural dynamics-based wavelet transformation technique for bearing defect detection. Specifically, a customized wavelet was developed analytically, using the scaling function derived from the actual impulse response of a ball bearing. Experiments under various loading conditions have confirmed that the customized wavelet provides a better match to the defect-induced signals of the bearing than a standard wavelet commonly used in the literature and is, thus, more effective in detecting bearing structural defects. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Customized Wavelet for Bearing Defect Detection | |
| type | Journal Paper | |
| journal volume | 126 | |
| journal issue | 4 | |
| journal title | Journal of Dynamic Systems, Measurement, and Control | |
| identifier doi | 10.1115/1.1850534 | |
| journal fristpage | 740 | |
| journal lastpage | 745 | |
| identifier eissn | 1528-9028 | |
| keywords | Bearings | |
| keywords | Flaw detection | |
| keywords | Signals | |
| keywords | Wavelets AND Impulse (Physics) | |
| tree | Journal of Dynamic Systems, Measurement, and Control:;2004:;volume( 126 ):;issue: 004 | |
| contenttype | Fulltext | |