Identification of transfer functions and statistical inverse problems
| Autor: | Kuniharu Kishida |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Scalar (mathematics)
Energy Engineering and Power Technology Inverse problem Transfer function Background noise Nuclear Energy and Engineering Singular value decomposition Applied mathematics Minimum phase Time series Safety Risk Reliability and Quality Waste Management and Disposal Hankel matrix Mathematics |
| Zdroj: | Progress in Nuclear Energy. 43:297-303 |
| ISSN: | 0149-1970 |
| DOI: | 10.1016/s0149-1970(03)00039-8 |
| Popis: | From viewpoint of statistical inverse problems we propose a new approach to identification of transfer functions between output variables in a power reactor with feedback loops. Using scalar times transformations of time series data we could find minimum phase innovation models via the singular value decomposition of Hankel matrices, and transfer functions between output variables were obtained from the identified innovation models. An example of Ringhals-1 data has been presented for identification of transfer functions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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