| contributor author | C. James Li | |
| contributor author | J. Ma | |
| contributor author | B. Hwang | |
| date accessioned | 2017-05-08T23:47:39Z | |
| date available | 2017-05-08T23:47:39Z | |
| date copyright | November, 1995 | |
| date issued | 1995 | |
| identifier issn | 1087-1357 | |
| identifier other | JMSEFK-27783#625_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/115572 | |
| description abstract | For automatic detection and diagnosis of localized defects in rolling element bearings, bicoherence spectra are used to derive features that signify the condition of a bearing. These features quantitatively describe the degree of phase correlation among any three harmonics of bearing characteristic defect frequencies. In this paper, theory of bicoherence is explored to establish its utilization in the detection of bearing localized defects. Experimental results show that the proposed method is effective in bearing defect detection and sensitive to incipient defects. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Bearing Localized Defect Detection by Bicoherence Analysis of Vibrations | |
| type | Journal Paper | |
| journal volume | 117 | |
| journal issue | 4 | |
| journal title | Journal of Manufacturing Science and Engineering | |
| identifier doi | 10.1115/1.2803542 | |
| journal fristpage | 625 | |
| journal lastpage | 629 | |
| identifier eissn | 1528-8935 | |
| keywords | Bearings | |
| keywords | Vibration | |
| keywords | Flaw detection | |
| keywords | Product quality | |
| keywords | Spectra (Spectroscopy) | |
| keywords | Frequency | |
| keywords | Patient diagnosis AND Rolling bearings | |
| tree | Journal of Manufacturing Science and Engineering:;1995:;volume( 117 ):;issue: 004 | |
| contenttype | Fulltext | |