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Shen Y.,Shenhua Ningxia Coal Industry Group
Hecheng Shuzhi Ji Suliao/China Synthetic Resin and Plastics | Year: 2017

Four Ziegler-Natta catalysts were used to carry out the bulk polymerization of propylene. The structure and properties of polypropylene(PP) prepared were characterized. The results indicate that the activities of the four catalysts are slightly different, ranging from 31 000 g/g to 43 000 g/g, and their basic physical properties are similar. The thermal and mechanical properties of PP prepared by catalysts 1, 2 and 4 are basically the same, while PP prepared by catalyst 3 has lower tensile strength and higher impact strength, the enthalpy of melting and crystallization of PP by catalyst 3 are lower than those by other catalysts. The spherical microstructure of PP powder prepared by these catalysts are analogical, and the particle size distribution are within 0.45 mm to 1.43 mm, which meet the requirements of the industrial PP. © 2017, Beijing Yanshan Branch, Assets Management Corporation, SINOPEC. All right reserved.


Zhang Y.,Xi'an University of Science and Technology | Zhang Y.,Shenhua Ningxia Coal Industry Group | Ma X.,Xi'an University of Science and Technology | Yang J.,Xi'an University of Science and Technology | Gong X.,Xi'an University of Science and Technology
Chinese Control Conference, CCC | Year: 2013

In order to produce in safety and avoid the accidents, which is caused by electromechanical failure in the coal large transport equipments, the fuzzy neural network fault diagnosis scheme based on rough set theory is proposed in this paper and the online fault monitoring system for the scraper conveyor is designed. The whole system monitoring model is introduced. The weak signal of mechanical vibration detection by Duffing chaotic oscillator is adopted. And the principle combining rough set and fuzzy neural network is described to realize the on-line fault monitoring. The feasibility and superiority of the scenario are verified so as to achieve a fault diagnosis and on-line monitoring. © 2013 TCCT, CAA.


Zhang Y.Q.,Xi'an University of Science and Technology | Zhang Y.Q.,Shenhua Ningxia Coal Industry Group | Ma X.M.,Xi'an University of Science and Technology | Yang J.X.,Xi'an University of Science and Technology | Zhang Y.N.,Xi'an University of Science and Technology
Applied Mechanics and Materials | Year: 2013

In this paper the rough set fuzzy neural network is used to monitor the over current fault problem of the mining scraper conveyor motor driving system. The phase current signals are input into the neural network, and then the current signals are processed with fuzzy logic set theory for optimization. Because too many rules may lead to complex computation, the rough set theory is used to reduce the rules after the signal characteristics are extracted. The simulation results show that the precision and reliability of motor driving system of the mining scraper conveyor can be improved by this method. © (2013) Trans Tech Publications, Switzerland.


Gong X.,Xi'an University of Science and Technology | Ma X.,Xi'an University of Science and Technology | Zhang Y.,Xi'an University of Science and Technology | Zhang Y.,Shenhua Ningxia Coal Industry Group | Yang J.,Xi'an University of Science and Technology
2013 IEEE International Conference on Information and Automation, ICIA 2013 | Year: 2013

In order to avoid losses, which is caused by electromechanical failure in the coal large transport equipments, this article introduced a model that integrated by breakdown extraction, failure diagnosis and fault analysis in the large-scale scraper chain conveyor breakdown. The weak signal of mechanical vibration detection by ANFIS is adopted. And it is also used for Troubleshooting effectively and accurately. Lastly, an effective diagnosis suggestion is given through the instrumentation KS-2000. And by this way, we not only proved the feasibility and superiority of this plan, but also achieved predictive maintenance in the true sense. © 2013 IEEE.


Zhang Y.,Xi'an University of Science and Technology | Ma X.,Xi'an University of Science and Technology | Zhang Y.,Shenhua Ningxia Coal Industry Group | Yang J.,Xi'an University of Science and Technology
2013 IEEE International Conference on Information and Automation, ICIA 2013 | Year: 2013

Support vector machine is a machine learning algorithm developed by Vapnik from the statistical learning theory for data classification via study from a small sample of fault data. For fault data it can isolate the fault categories accurately even though only has the small sample of data. In the present work, support vector machine's classification mechanism and its application in mechanical fault diagnosis are introduced. Therefore, give an instance the support vector machine makes fault classification for the coal mine scraper conveyor's faults. Last but not the least, put forward some of the shortcomings of the support vector machine and look forward to the direction of development of the support vector machine fault diagnosis in the future. © 2013 IEEE.


Wang J.,Shenhua Ningxia Coal Industry Group | Zhang Z.,Xi'an Jiaotong University | Guo J.,Xi'an Jiaotong University
Advanced Materials Research | Year: 2013

Industrial circular economy is based on industry chain and realized through the coordination of upstream and downstream, with the purpose of comprehensive utilization of coal and other byproducts. This paper analyzes the circular economy development mode from the perspective of industry (industrial cycle economy), with Shenhua Ningxia Coal Industry Group as an example, which constructs Ningdong coal base mainly based on coal industrial circular economy. Its experiences provide certain reference for coal industry and other interrelated industries. © (2013) Trans Tech Publications, Switzerland.


Zhang J.,Xi'an University of Technology | Zhang J.,Shenhua Ningxia Coal Industry Group | Ma H.-W.,Xi'an University of Technology
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2013

The specific on-site environment of the mining industry field puts forward higher request to the safe operation of electrical equipment. Especially the arc-fault is one of the most important causes of disasters in distribution system. The traditional methods of the arc-fault detection and protection are based on the extraction and diagnosis of the single signals such as electric current, voltage, arc light, etc. Though the combined methodology has been proposed, it is difficult to implement and the cost is increased. On the basis, a double-criterion monitoring and protection method is proposed, which takes both electric current and arc light as the monitoring parameters. By use of the sensing measures of photosensitive dynatron matrix and expert system evaluation method, arc-fault in the high-voltage switch cabinet can be effectively judged and located and the fault can be cut timely, then the service life and safety and reliability of switch apparatus can be enhanced, ensuring the safe and stable operation of the mining power system.


Fu-bao Z.,China University of Mining and Technology | Fu-bao Z.,Key Laboratory of Gas and Fire Control for Coal Mines Ministry of Education | Bo-bo S.,China University of Mining and Technology | Jian-wei C.,China University of Mining and Technology | Ling-jun M.,Shenhua Ningxia Coal Industry Group
Fire Technology | Year: 2015

Subsurface fires are a common threat for coal mining, since spontaneous coal combustion can easily result in gas combustion and explosion. In this paper, aiming to solve problems of the low efficiency, the line clogging, and some other related field issues in liquid nitrogen perfusion, a fire extinguishing application by using immediate liquid nitrogen infusion was presented. The presented technique is efficient in absorbing heat, and consequently, displacing oxygen and combustible gases. Field tests justified the efficiency of the technique. Only 12 days were taken to unseal the coal mine, which provides a quick and efficient management of the fire zone. Furthermore, by using the presented technique, there was no waste left behind which may impede the subsequent production. The presented technique is of great benefit from the social, economic, and environmental aspects, which indicates its broad application in fire prevention for large-scale coal mines. © 2013, Springer Science+Business Media New York.


Zhou F.-B.,China University of Mining and Technology | Xia T.-Q.,China University of Mining and Technology | Liu Y.-K.,China University of Mining and Technology | Hu S.-Y.,China University of Mining and Technology | Zhang Z.-G.,Shenhua Ningxia Coal Industry Group
Meitan Xuebao/Journal of the China Coal Society | Year: 2010

The research was carried out with the background of surface boreholes extraction system at Wulan Coal Mine, Shenhua-Ningxia Coal Industry Group. In accordance with the conservation principle of mass and energy, the mathematical model for calculating gas flow rate of boreholes extracting gas from gobs and pressure-relieved seams was established. The flow rates of different gas sources, which were extracted by boreholes in the mining district of the protective coal seam at Wulan Coal Mine, were calculated with the model above. The results show that the gas flow rate from pressure-relieved seams 2 and 3 is from 52.0% to 89.1% of total gas flow.


Luo F.-L.,Ningxia University | Luo F.-L.,CAS Beijing National Laboratory for Molecular | Luo F.-H.,Ningxia University | Xing Q.,CAS Beijing National Laboratory for Molecular | And 5 more authors.
Chinese Journal of Polymer Science (English Edition) | Year: 2013

In the present work, the blend of poly(butylene succinate) (PBS) and bisphenol A (BPA) was prepared by solution mixing, and the intermolecular interactions between the two components were characterized by a combination of nuclear magnetic resonance (NMR) and Fourier transform infrared spectroscopy (FTIR). The results showed that intermolecular hydrogen-bonding forms between the carbonyl group of PBS and phenol hydroxyl of BPA. With the increase of BPA content, more hydrogen bonds were formed. The effect of hydrogen bonding on the crystallization behavior of PBS was investigated by differential scanning calorimetry (DSC) and polarized optical microscopy (POM). The results showed that the overall isothermal crystallization kinetics and the spherulite growth rate of PBS decrease with the increase of BPA content, while the PBS spherulite size increases with BPA content. © 2013 Chinese Chemical Society, Institute of Chemistry, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

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