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Wan W.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines | Wan W.,Hunan University of Science and Technology | Jie L.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines
Applied Mechanics and Materials | Year: 2010

BAYES discriminant analysis (BDA) method was used in the study of headstreams of prediction of minewater inrush and two BDA models for recognizing two-headstreams and multi-headstreams were constructed. Baesd on the principle of BDA theory and the classical headstream samples of different mines, the discriminant process and cross-validation method were introduced. 10 samples from a mine of HUA BEI Mine and 39 samples of JIAO ZUO Mine were used as data sources. Ca 2+, Mg 2+, Na +, K +, Cl -, HCO 3-, SO 2- 4, NO 2- 3, F - and pH were selected as discriminant genes for two-headstreams BDA model and Na ++K +, Ca 2+, Mg 2+, Cl -, SO 4 2-, HCO 3- were regarded as discriminant genes for multi-headstreams BDA model. Compared with the results of SQT method, ANN method and SVM method, the results show that the frame of BDA model was steady and high prediction accuracy can be obtained. BDA method and can be used in practical mine engineering. © (2010) Trans Tech Publications, Switzerland. Source


Zhu Y.-J.,Hunan University of Science and Technology | Zhu Y.-J.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines | Peng G.,Hunan University of Science and Technology | Peng G.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines
Journal of Coal Science and Engineering | Year: 2010

Similar material simulation test was carried out in a geological model of W9-15101 fully mechanized caving face with large mining height in the Liuhuanggou Colliery, in Xinjiang Uigur Autonomous Region. The roof overlying strata movement law in the stope of a fully mechanized caving face with large mining height was studied and show that the roof overlying strata in the stope of a fully mechanized caving face with large mining height can be formed into a stable arch structure; the fracture rock beam is formed resembling a "bond beam", but it has essentially the structure of "multi-span beams" under the big structure of the stable arch. The roof overlying strata movement law in the stope of a fully mechanized caving face with large mining height is similar to that of the common, fully mechanized caving stope, which is determined by the deformation and instability of the structure of "multi-span beams". But because of the differences between the mining heights, the peak pressure in the stope of a fully mechanized caving face with large mining height is smaller while the affected area of abutment pressure is wider in the front of the working face; this is the obvious difference in abutment pressure between the stope of a fully mechanized caving face with large mining height and that of the common. © The Editorial Office of Journal of Coal Science and Engineering (China) and Springer-Verlag Berlin Heidelberg 2010. Source


Wu H.,Hunan University of Science and Technology | Wu H.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines | Wu H.,China University of Mining and Technology | Zhang N.,Hunan University of Science and Technology | And 3 more authors.
International Asia Conference on Industrial Engineering and Management Innovation: Core Areas of Industrial Engineering, IEMI 2012 - Proceedings | Year: 2013

On the basis of individual information processing theory, the information processing of individual cognition is analyzed, namely, from the angle of information input, information processing and information output, the information processing influential factors model is established with the profound analysis of the causes of information input, processing and output distortion during the individual working process. According to the model, the countermeasures of preventing and reducing information input, processing and output distortion are proposed to decrease the human errors effectively, increase the enterprise safety production efficiency and provide theoretical basis for the formation of enterprise safety production regulations. © Springer-Verlag Berlin Heidelberg 2013. Source


Zhu Y.-J.,Hunan University of Science and Technology | Zhu Y.-J.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines | Feng T.,Hunan University of Science and Technology | Feng T.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines
Meitan Xuebao/Journal of the China Coal Society | Year: 2012

According to the complex changing condition of the stability of coal roadway roof, combining with Shendong super-long coal roadway, large section roadway, complex changes of roof strata structure as well as engineering properties of bolts(cables) support, based on the scientific, practicality and quantitative selection principles of the stibility classification indexes of coal roadway roof, based on the deep analysis on affect factors of stability for bolts support coal roadway roof in Shendong diggings, distance to roof surface of the single thick strata L, strength σ c and thickness D, span B and depth H of the coal roadway as well as the index of mining effect N were determined as classification parameters of the dynamic stability classification of super-long bolt support coal roadway roof in Shendong Diggings, and the BP neural network prediction model of dynamic stability classification of bolt support for super-long coal roadway roof in Shendong mining area was established, the recognition accuracy of the model is more than 95% by test, and the result of dynamic stability classification is highly anastomosed with the actual site. Source


Zhang D.-B.,Central South University | Zhang D.-B.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines | Yang X.-L.,Central South University | Zhu C.-Q.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines | Wang W.-J.,Hunan Key Laboratory of Safe Mining Techniques of Coal Mines
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | Year: 2012

Considering the facts that the parameters of tunnel lining structures are random, the distributions are various, and the limit state functions are highly nonlinear, the practical parameters of tunnel lining structures were estimated and presented. The calculations were formulated in maximal entropy principle, so that the actual parameters were obtained. According to the limit state equation of stability of tunnel lining and the geometry meaning of structural reliability index, a reliability-index-calculating model was established based on optimum algorithm. The structural reliability index was calculated by using the function of programming solver in Microsoft Excel. Detailed calculation procedures, an example and the methods to improve the reliability of tunnel lining structure were given. The results show that this method with a fast convergence and a high calculation efficiency does not linearizate the limit state function and the limit of dimensions of essential variables, and it has high calculating precision compared with that calculated by the one-million-time Monte-Carlo direct sampling method. Source

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