The PredicTion of MeTal SloPPing in ld converTer on BaSe an acouSTic Signal
نویسنده
چکیده
The negative influences of slopping in a BOF are pollution to the environment. They give lower yield and cause equipment damage. The prediction of these phenomena is based on information processing from the measuring microphone. The change of frequency in certain range is done by a signal for the prediction of slopping. In this paper two methods for prediction of slopping are described. The first method is based on measuring and processing of sound emitted from the vessel during the blow. The second method utilizes Fourier’s transformation for processing of acoustic signal from sonic meter. The success rate of prediction has been evaluated by help of five criterions. It is possible to forecast the slopping on selected frequency (band). It is the essence of the second method, because this method has high success (criterion K1). Note, that criterion K5 defines acknowledgment of duration slopping. This criterion has the highest value.
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