Entity

Time filter

Source Type


Zhang Y.,Xian University of Science and Technology | Zhang Y.,Shenhua Ningxia Coal Industry Group | Ma X.,Xian University of Science and Technology | Yang J.,Xian University of Science and Technology | Gong X.,Xian 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.


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.


Zhang J.,Xian University of Technology | Zhang J.,Shenhua Ningxia Coal Industry Group | Ma H.-W.,Xian 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.


Gong X.,Xian University of Science and Technology | Ma X.,Xian University of Science and Technology | Zhang Y.,Xian University of Science and Technology | Zhang Y.,Shenhua Ningxia Coal Industry Group | Yang J.,Xian 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.

Discover hidden collaborations