| contributor author | Chong-Won Lee | |
| contributor author | Jong-Po Park | |
| contributor author | Kwang-Joon Kim | |
| date accessioned | 2017-05-08T23:55:15Z | |
| date available | 2017-05-08T23:55:15Z | |
| date copyright | October, 1997 | |
| date issued | 1997 | |
| identifier issn | 1048-9002 | |
| identifier other | JVACEK-28840#512_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/119673 | |
| description abstract | A new time series method, directional ARMAX (dARMAX) model-based approach, is proposed for rotor dynamics identification. The dARMAX processes complex-valued signals, utilizing the complex modal testing theory which enables the separation of the backward and forward modes in the two-sided frequency domain and makes effective modal parameter identification possible, to account for the dynamic characteristics inherent in rotating machinery. The dARMAX is superior in nature to the conventional ARMAX particularly in the estimation of the modal parameters for isotropic and weakly anisotropic rotors. Numerical simulations are performed to demonstrate effectiveness of the dARMAX. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Complex Time Series Modeling and Analysis for Rotor Dynamics Identification | |
| type | Journal Paper | |
| journal volume | 119 | |
| journal issue | 4 | |
| journal title | Journal of Vibration and Acoustics | |
| identifier doi | 10.1115/1.2889753 | |
| journal fristpage | 512 | |
| journal lastpage | 522 | |
| identifier eissn | 1528-8927 | |
| keywords | Modeling | |
| keywords | Rotordynamics | |
| keywords | Time series | |
| keywords | Separation (Technology) | |
| keywords | Machinery | |
| keywords | Computer simulation | |
| keywords | Rotors | |
| keywords | Testing AND Signals | |
| tree | Journal of Vibration and Acoustics:;1997:;volume( 119 ):;issue: 004 | |
| contenttype | Fulltext | |