Title :
Multi-source data fusion soft-sensor method for ball mill operating parameters based on transformation of radial basis function
Author :
Tang, Jian ; Zheng, Xiuping ; Chai, Tianyou ; Yue, Heng ; Zhao, Lijie
Author_Institution :
Key Lab. of Integrated Automaton for Process Ind., Northeastern Univ., Shenyang, China
Abstract :
Reliable measurement of the mill load is one of key factors to improve mill productivity, production quality and decrease energy consumption for the grinding process. A multi-source data fusion soft-sensor method is proposed to estimate the operating parameters which present the mill load. Fast Fourier transform (FFT) is used to estimate the power spectral density (PSD) of the vibration signals from mill shell and acoustic signals near mill because some important information of mill load is closely related to the relative amplitudes of different frequencies. Radial basis function (RBF) is used to map the spectral feature to nonlinear space after feature variables of the spectral data are extracted through principal component analysis (PCA). At last, three partial least squares (PLS) models are built to predict mill operating parameters, whose input variables are the linear and nonlinear spectral features and current signal of mill motor. A case study shows that the proposed soft-sensor method has higher accuracy and better predictive performance than other methods.
Keywords :
acoustic signal processing; ball milling; fast Fourier transforms; grinding; least squares approximations; principal component analysis; radial basis function networks; sensor fusion; acoustic signal; ball mill operating parameter; energy consumption; fast Fourier transform; grinding process; mill load measurement; mill productivity; multisource data fusion soft-sensor method; partial least square models; power spectral density; principal component analysis; production quality; radial basis function; vibration signal; Acoustics; Feature extraction; Frequency domain analysis; Load modeling; Materials; Principal component analysis; Vibrations; Ball mill operating parameters; Frequency spectrum; Partial least squares; Principal component analysis; Radial basis function;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554629