Statistical time series models are practical tools in public health surveillance. Their capacity to forecast future disease incidence values exempli"es their usefulness. Using these forecasts, one can develop strategies to trigger alerts to public health o$cials when irregular disease incidence valu
COMPLEX TIME SERIES ANALYSIS FOR ROTOR DYNAMICS IDENTIFICATION: APPLICATIONS
β Scribed by Chong-Won Lee; Jong-Po Park; Jong-Seop Yun; Chee-Young Joh
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 264 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0888-3270
No coin nor oath required. For personal study only.
β¦ Synopsis
An effective fitting strategy in the directional ARMAX model-based approach is proposed for the rotor dynamics identification. The strategy is based on a priori knowledge of the degree of anisotropy in rotor systems gained from directional frequency response estimates. In addition, the anisotropy contribution factor is introduced in an effort to quantify the degree of system anisotropy. Finally, the applicability and effectiveness of the proposed strategy are investigated experimentally.
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