The longitudinal vibration of straight-line ingot in continuous casting of steel
Anita Ciekot
Politechnika Częstochowska.
DOI:
https://doi.org/10.7494/cmms.2004.1.0047
Abstract:
The analysis of experimental measurements is sometimes difficult, if the registered data are superimposed be noisy signals. The source of such noise is often the improper sensitivity calibration of measuring devices. Sometimes, such data are even useless for the further analysis. Therefore, the goal of the present paper is an attempt of application of two different filtering techniques, including the artificial intelligence methods (artificial neural networks) to the filtering of the noisy experimental data. Examples of filtering results using described techniques are presented.
Cite as:
Ciekot, A. (2004). The longitudinal vibration of straight-line ingot in continuous casting of steel. Computer Methods in Materials Science, 4(1-2), 1 – 7. https://doi.org/10.7494/cmms.2004.1.0047
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