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Audio Signal Analysis for Detection of the Raw Material Level in Ball Mill
FANG Tao;CHEN Le-geng
2012, 32 (2):
143-146.
DOI: 103969/j.issn.1006-1355-2012.02.035
A method for detecting the raw material level in ball-mills based on audio signal processing was presented. By using multi-scale wavelet transform and the multi-channel decomposition technique based on wavelet packet in audio signal processing, the feature frequency bands which can reflect the height and changes of the level of the raw material in ball-mills were identified and extracted. Then the audio signal energy in above-mentioned frequency bands was treated as a characteristic quantity which can reflect the changes of the material level. According to the audio signal energy of lower feature frequency of different material levels, the curve-fitting was done and the curve of characteristic quantity of the audio signal related to the material level was obtained. Thus, the non-linear mapping between the characteristic quantity of the audio signal and the material level was realized.
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