Application of wavelet transform in curve processing for thermo-gravimetric analysis of iron ore
CHEN Ying-na1, YING Hai-song*1, WANG Yu-he2, LI Fei-zhen3, LI Xue-lian1, YU Chun-hui1
1.Beilun Entry-Exit Inspection & Quarantine Bureau,Ningbo 315800,China; 2. Institute of Economics of the Chinese Academy of Social Sciences,Beijing 100836,China; 3.Ningbo University,Ningbo 315211,China
Abstract:The wavelet transform is an emerging technology in chemometrics, and it has been used in wave spectrum analysis of instrumental determination. The thermo-gravimetric analysis (TGA) is a kind of analysis method which is widely used in material fields. As long as there is mass change in heating of materials, TGA can be used. Therefore, TGA is always applied to the thermal stability and mineral analysis of materials. Sometimes, however, the TGA curve is hardly distinguished due to the interference of unknown factors.The wavelet tool box in MATLAB was used to analyze the TGA curve of iron ores. The noise was filtered and removed by 5-order 2-layer resolution of Daubechies wavelet. The overlapping peaks were separated by wavelet derivative transform. Finally, the resolution ratio of TGA curve could be improved.
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