Papers by Author: Wei Liu

Abstract: Expert system of full-mechanized face equipment fitting based on artificial neural network is researched and processing method is presented in this paper. On the basis of this, BP neural network models for the forecast of production capability of mining face and the parameters of equipment fitting of full-mechanized mining face are built up. Employing these models forecasts the output, work efficiency and main technical parameters of full-mechanized equipment of the test mining face in Ji'er Colliery.

Abstract: The purpose of this study is to provide a correct and timely diagnosis mechanism of shearer failures by knowledge acquisition through a fuzzy inference system which could approximate expert experience. Concerning a question of uncertain knowledge expression and reasoning in shearer malfunction, the fuzzy inference theory is used in shearer malfunction fault diagnosis. The fuzzy relation matrix of faults and signs is deduced based on deep research of failure mechanism and expert experience, which agrees with fault and fault symptoms non one-to-one relationship and human thinking. Fault characteristic parameter is calculated to corresponding subordinate degree, then is operated with fuzzy relation matrix and get fault fuzzy vector. Finally, the shearer malfunction fault is diagnosed according to certain diagnosis principle. The example proves that the method has less calculation, explicit conclusion and other merits.

Abstract: By integrating network technology, virtual instrument technology, video image network transmission and web page fusion technology, the analysis system of ultrafine particles dynamic light scattering signals based on B/S mode was developed，Through internet explorer, the remote client can browse the real-time monitoring data, such as diameters of particles, the autocorrelation function curve, inversion results, power spectrum density, time-frequency distribution. The photon counting technology was applied in the system to replace the expensive correlator, the real-time data of ultrafine particles dynamic light scattering were analyzed by using Burg arithmetic of AR model, Much useful information of the particle size can be obtained by comparing the power spectrum of standard polystyrene particles scattered light signals of 450nm, 300nm, 200nm.

Abstract: The measurement and analysis system of nanoparticles size distribution was developed by using virtual instrument technology, while the photon counting technology was applied in the system to replace the expensive correlator. High speed photon pulse counter was designed. The real-time data of nanoparticles dynamic light scattering were analyzed in the mixed program of MATLAB and LabVIEW, where the time autocorrelation functions of nanoparticles light scattering signals of monodisperse and polydisperse are reversed by NNLS arithmetic. Experiments results show that the peak position, peak width and symmetry of inverse distribution are very close to the real simulate particles.