## Abstract The generation of flow forecasts using rainfall inputs to hydrological models has been developed over many years. Unfortunately, errors in input data to models may vary considerably depending upon the different sources of data such as raingauges, radar and high resolution Numerical Weat
MINIMISATION OF THE EFFECT OF UNCERTAINTY ON MODEL ESTIMATION
โ Scribed by U. Prells; A.W. Lees; M.I. Friswell; M.G. Smart
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 300 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0888-3270
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โฆ Synopsis
The objective of this paper is to minimise the effect of an uncertain oil film bearing model on the estimation of a foundation model from run-down measurements on a turbo-generator. To do this a method is presented to identify a dynamic transfer matrix relating the response vector of the foundation at the bearings to an estimated force which is insensitive with respect to the oil film model. Analytically this transfer matrix is related to that of the foundation simply by the multiplication by a transformation matrix which only depends on the model of the rotor and on the model of the oil film, and which of course retains the sensitivity of the original problem with respect to the oil film model. But since the estimation error of the robust transfer matrix estimate is minimum the retained error is mainly due to the erroneous oil film model used in the transformation matrix. The use of the robust estimate to calculate the contribution of the support on the dynamics of the mounted machine for variations of the oil film model increases the reliability of the predictions.
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