Academic literature on the topic 'Underground mining equipment'

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Journal articles on the topic "Underground mining equipment"

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Samanta, B. K. "Underground Mining Project Equipment Selection Model." International Journal of Computer Trends and Technology 44, no. 1 (February 25, 2017): 50–57. http://dx.doi.org/10.14445/22312803/ijctt-v44p110.

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Song, Zhen, Håkan Schunnesson, Mikael Rinne, and John Sturgul. "Intelligent Scheduling for Underground Mobile Mining Equipment." PLOS ONE 10, no. 6 (June 22, 2015): e0131003. http://dx.doi.org/10.1371/journal.pone.0131003.

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Lynas, D., and R. Burgess-Limerick. "Whole-Body Vibration Exposures in Undeground Coal Mining Operations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 914–18. http://dx.doi.org/10.1177/1541931213601210.

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Studies conducted on surface coal mining equipment have identified whole-body vibration as a significant hazard. Operators of underground mobile equipment, particularly shuttle cars and transport vehicles, are likely to be exposed to significant levels of whole-body vibration. To date, measuring whole-body vibration from underground mining mobile equipment has been difficult due to the strict guidelines governing the use of electrical equipment in underground mines. This paper presents data obtained from two low-methane coal mines using an iOS application installed on iPod Touch devices. The majority of measurements taken from a range of mobile plant and equipment in use at the underground coal mines exceeded the ISO2631.1 Health Guidance Caution Zone. Further investigations are being undertaken to develop a thorough understanding of whole-body vibration exposures to which operators of mobile equipment used in underground coal mines are exposed and the opportunities for application of this information to assist mine site safety, health and risk management processes.
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EFIMOV, Viktor, Nikolay ABRAMKIN, Vladimir VERNIGOR, and Behruz KHAKIMOV. "UNDERGROUND MINING EQUIPMENT KITS COAL IN SHALLOW BEDS." Sustainable Development of Mountain Territories 12, no. 4 (December 30, 2020): 510–15. http://dx.doi.org/10.21177/1998-4502-2020-12-4-510-515.

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In Russian practice, at the author of the mines of the revolution, equipment was used, which was well made at the pest of domestic factories. In view of the core bankruptcy of the domestic factories, the coat of arms of the miners were forced to carry the burden and had the choice to buy foreign equipment.. In 90-ies tax on trail equipment, which was not produced in Russian boards, was not collected at all. The miners bought the equipment abroad, without any additional problems for the equipment import did not arise. Powered roof support and shearers are not produced in Russia and the plants had to buy them abroad both the avalanche and the separate equipment. The term fund "complex" pest has a conditional blue character, the conclusion reflecting taking only the stage of the kinematic announcement of the connection, the input of the electrohydraulic and if the electronic system suddenly controls interchangeable author sets of equipment address. temperament It is advisable to revise the concept of more classification of the kiln cleaning mechanized complexes and the lighthouse to adjust the core of the customs due to legislation to address some of the tinder customs duties on the author of the mining equipment.
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Tauger, Vitalii, Niyaz Valiev, Evgenii Volkov, Denis Simisinov, and Vitalii Adas. "Remote-controlled robotic complex for underground mining." E3S Web of Conferences 177 (2020): 03006. http://dx.doi.org/10.1051/e3sconf/202017703006.

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As the global rich mineral deposits are becoming depleted, the deposit development is performed with a deeper bedding and in much more difficult mining and geological conditions. This circumstance determines both the increase in the labor intensity and development costs, and the increased likelihood of emergencies. In recent years, the accidents have become more frequent at the Russian mining enterprises, aggravated not only by the significant damages, but also by the casualties. The ongoing efforts to correct the tight situation do not have a perceptible effect. A complete exclusion of the presence of people underground should be considered as a drastic remedy for preventing human casualties. It can be achieved only through the use of machinery and technology for manless mining using the automated control systems. The Department of Engineering Mechanics of the Ural State Mining University has formed the concept of a “remote-controlled robotic complex for underground mining”, according to which a surface-controlled system of mining equipment will absolve the miners from working underground. At present, the favorable conditions have been laid for combining the in-mine equipment and permanent installations into a single complex under the control of operators located on the soil surface. In accordance with the concept, the technological robotic complex is transformed into a mechatronic system of the underground mining equipment. The mechatronic system is divided into the separate subsystems by the types of equipment. Particular attention is paid to the automated complex remote-control system based on the telemetry principles using the latest means of data acquisition, conversion and transmission. The system interface provides the most efficient and error-free performance of the operator throughout the entire shift. The concept implementation of the remote-controlled robotic complex in the mining industry will allow not only to avoid the tragic consequences of emergencies in the mines, but also to elevate the national mining equipment and technology to the highest world standards.
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Okolnishnikov, V. "An MTSS Based Underground Coal Mining Simulation Model." Engineering, Technology & Applied Science Research 8, no. 3 (June 19, 2018): 3060–63. http://dx.doi.org/10.48084/etasr.2087.

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In the frames of simulation system, a specialized library of simulating models of mining equipment and coal seam (MTSS) was implemented. Using the specialized simulating model library of technological mining equipment an integrated model for technological processes of underground coal mining in stoping face was developed. The main goal of simulation for coal mining technological processes in stoping face is the evaluation of productivity of a cutter-loader depending on different factors like the technical parameters of the cutter-loader, size of the longwall face, geophysical state of the coal seam.
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Wang, Yanxiang, Daolong Yang, Bangsheng Xing, Tingting Zhao, Zhiyi Sun, Qianqian Huang, and Qian Li. "Recent Patents on Thin Coal Seam Mining Equipment." Recent Patents on Mechanical Engineering 13, no. 2 (May 31, 2020): 99–108. http://dx.doi.org/10.2174/2212797613666200221143251.

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Background:: China's thin and extremely thin coal seam resources are widely distributed and rich in reserves. These coal seams account for 20% of the recoverable reserves, with 9.83 billion tons of industrial reserves and 6.15 billion tons of recoverable reserves. Objective: Due to the complex geological conditions of the thin coal seam, the plow mining method cannot be effectively popularized, and the drum mining method is difficult to be popularized and applied in small and medium-sized coal mines, so it is necessary to find other more advantageous alternative mining methods. Methods: The equipment integrates mining operations, conveying operations, and supporting operations, and is suitable for mining short and extremely thin coal seam with a height of 0.35m-0.8m and width of 2m-20m. It has the advantages of the low body of the shearer, no additional support on the working face, and small underground space. The mining efficiency of thin coal seam and very thin coal seam can be improved and the mining cost can be reduced. Results: Thin coal seam shear mining combines mining, conveying, and supporting processes together and has the advantages of a low fuselage, no extra support required for the working face, and feasibility in a small underground space. Conclusion: The summarized mining method can improve the mining efficiency of thin and extremely thin coal seams, reduce mining costs, and incorporate green mining practices, which take both mining economy and safety into account.
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Burgess-Limerick, Robin. "Injuries Associated with Underground Coal Mining Equipment in Australia." Ergonomics Open Journal 4, no. 1 (August 27, 2011): 62–73. http://dx.doi.org/10.2174/1875934301104010062.

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Vayenas, Nick, and Sihong Peng. "Reliability analysis of underground mining equipment using genetic algorithms." Journal of Quality in Maintenance Engineering 20, no. 1 (March 4, 2014): 32–50. http://dx.doi.org/10.1108/jqme-02-2013-0006.

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Purpose – While increased mechanization and automation make considerable contributions to mine productivity, unexpected equipment failures and imperfect planned or routine maintenance prohibit the maximum possible utilization of sophisticated mining equipment and require significant amount of extra capital investment. Traditional preventive/planned maintenance is usually scheduled at a fixed interval based on maintenance personnel's experience and it can result in decreasing reliability. This paper deals with reliability analysis and prediction for mining machinery. A software tool called GenRel is discussed with its theoretical background, applied algorithms and its current improvements. In GenRel, it is assumed that failures of mining equipment caused by an array of factors (e.g. age of equipment, operating environment) follow the biological evolution theory. GenRel then simulates the failure occurrences during a time period of interest based on Genetic Algorithms (GAs) combined with a number of statistical procedures. The paper also discusses a case study of two mine hoists. The purpose of this paper is to investigate whether or not GenRel can be applied for reliability analysis of mine hoists in real life. Design/methodology/approach – Statistical testing methods are applied to examine the similarity between the predicted data set with the real-life data set in the same time period. The data employed in this case study is compiled from two mine hoists from the Sudbury area in Ontario, Canada. Potential applications of the reliability assessment results yielded from GenRel include reliability-centered maintenance planning and production simulation. Findings – The case studies shown in this paper demonstrate successful applications of a GAs-based software, GenRel, to analyze and predict dynamic reliability characteristics of two hoist systems. Two separate case studies in Mine A and Mine B at a time interval of three months both present acceptable prediction results at a given level of confidence, 5 percent. Practical implications – Potential applications of the reliability assessment results yielded from GenRel include reliability-centered maintenance planning and production simulation. Originality/value – Compared to conventional mathematical models, GAs offer several key advantages. To the best of the authors’ knowledge, there has not been a wide application of GAs in hoist reliability assessment and prediction. In addition, the authors bring discrete distribution functions to the software tool (GenRel) for the first time and significantly improve computing efficiency. The results of the case studies demonstrate successful application of GenRel in assessing and predicting hoist reliability, and this may lead to better preventative maintenance management in the industry.
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Hamrick, Christopher A., Kim M. Cornelius, E. William Rossi, and Richard L. Unger. "Appropriate ingress/egress dimensions for mobile underground mining equipment." International Journal of Industrial Ergonomics 11, no. 1 (January 1993): 13–18. http://dx.doi.org/10.1016/0169-8141(93)90050-n.

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Dissertations / Theses on the topic "Underground mining equipment"

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Runciman, Neil Arthur. "Evaluation of underground mining equipment systems using discrete-event simulation with animation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ31464.pdf.

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Prudencio, Gerald, Diego Pino, Luis Arauzo, and Carlos Raymundo. "Productivity analysis of LHD equipment using the multiple linear regression method in an underground mine in Peru." International Institute of Informatics and Systemics, IIIS, 2019. http://hdl.handle.net/10757/656294.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
The current study is based on a multiple linear regression analysis with an objective to formulate an equation related to the productivity analysis of LHD equipment using independent variables such as the effective utilization of the equipment. To identify the independent variables, main productive factors, such as the actual capacity of the buckets, the transport cycles in the cleaning process, and the performance by means of curves, were analyzed. Comparisons of a Peruvian underground mine case study exhibited that the battery-powered equipment denoted similar production efficiencies to that exhibited by its diesel counterparts; however, the three-tier approach observed that the battery-powered equipment could achieve production efficiencies that are up to 13.8% more as compared to that achieved using its diesel counterparts because of increased effective utilization that can be attributed to long MTBF. The results of this study exhibit that LHDs under battery-powered storage are feasible for underground mining not only because of the fact that they do not emit any polluting gases, which helps to mitigate pollution, but also because of their good production performance that can be considered to be an important pillar in deep mining. Copyright 2019.
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Goggins, Katie A. "FOOT-TRANSMITTED VIBRATION: EXPOSURE CHARACTERISTICS AND THE BIODYNAMIC RESPONSE OF THE FOOT." Thesis, Laurentian University of Sudbury, 2013. https://zone.biblio.laurentian.ca/dspace/handle/10219/2013.

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Research shows miners can be exposed to foot-transmitted vibration (FTV) when operating various pieces of underground mining equipment, and case reports suggest workers are experiencing symptoms similar to those of hand-arm vibration syndrome in their feet. A field study was conducted to measure and document FTV exposure associated with operating underground mining equipment, and probable health risks were determined based on both ISO 2631-1 (1997) for WBV and ISO 5349-1 (2004) for HAV. Seventeen participating operator’s also reported musculoskeletal discomfort. Seventeen male participants ranging between 24-61 years of age, with an average height and mass of 175.0cm and 88.2kg volunteered for the study. Seventeen pieces of equipment were tested; 1 locomotive, 1 crusher, 9 bolter drills (4 scissor platforms, 2 Maclean, 2 Boart/basket, and 1 RDH), and 6 jumbo drills. Including all seventeen pieces of underground mining equipment, the vibration acceleration ranged from 0.13-1.35m/s2 with dominant frequencies between 1.25-250Hz according to ISO 2631-1. According to ISO 5349-1 vibration acceleration ranged from 0.14-3.61m/s2 with dominant frequencies between 6.3-250Hz. Furthermore, the magnitude of FTV measured on the jumbo drills with grated platforms (#5 and #6) was less than FTV measured from the jumbo drills with, solid metal surfaces. Additionally, twelve of the seventeen equipment operators indicated a complaint of discomfort in their lower body (specifically at the level of the knee or lower). The health risk analysis based on ISO 2631-1 indicated that one operator (bolter drill #9) was exposed to vibration above the criterion value, while the health risk analysis based on ISO 5349-1 indicated iv that two operators (jumbo drill #1 and bolter drill #1) were exposed to vibration above the criterion value. Operators reported very severe or severe discomfort; however, the same operators were not the operators of the equipment with FTV exposure levels above the ISO standards, leaving evidence to suggest that the standards are not properly assessing injury risk to vibration exposure via the feet. Future research is needed to develop a standard specific for FTV and to determine the link between early musculoskeletal injury reporting and the onset of vibration white foot. To do so, a better understanding of the biodynamic response of the foot to FTV is needed. A laboratory study was conducted to 1) measure and document transmissibility of FTV from (a) floor-to-ankle (lateral malleolus), and (b) floor-to-metatarsal, during exposure to six levels of vibration (25Hz, 30Hz, 35Hz, 40Hz, 45Hz, and 50Hz) while standing, and 2) to determine whether independent variables (vibration exposure frequency, mass, arch type) influence transmissibility (dependent variable) through the foot. A two-way repeated measures analysis of variance (ANOVA) was conducted. There was a significant interaction between transmissibility location and exposure frequency (λ = 0.246, F (5,25) = 15.365, p = 0.0001). There were significant differences in mean transmissibility between the ankle and metatarsal at 40Hz [t(29) = 4.116, p = 0.00029], 45Hz [t(29) = 6.599, p = 0.00000031], and 50Hz [t(29) = 8.828, p = 0.000000001]. The greatest transmissibility at the metatarsal occurred at 50Hz and at the ankle (lateral malleolus) transmissibility was highest from 25-30Hz, indicating the formation of a local resonance at each location. v Future research should focus on identifying resonance frequencies at different locations on the feet. This information is needed to develop an exposure guideline to help protect workers from exposure to FTV, and to develop personal protective equipment capable of attenuating harmful FTV exposure frequencies.
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Fietsam, James. "Development of a procedure for the certification of canopies for underground mining equipment using finite element analysis software." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/theses/2496.

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Underground mining equipment is required by the Mine Safety and Health Administration to have certified overhead protective structure, referred to here as a canopy. By reviewing previous works in the area of protective canopies and utilizing their findings to
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Paiva, Guilherme. "Aplicação de tecnologias de informação e automação em minas subterrâneas: desafios e perspectivas." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/3/3134/tde-26072016-152745/.

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Este trabalho tem o objetivo de discutir conceitos, desafios e perspectivas relacionados à aplicação de tecnologias de automação e informação em minas subterrâneas. Exemplos de aplicação contextualizam técnicas e tecnologias atuais de lavra, suas tendências de evolução para o futuro e a interação com aspectos humanos, operacionais e gerenciais. Dados coletados, referentes a indicadores de produtividade e confiabilidade, são utilizados para um estudo sobre a utilização de um jumbo de perfuração computadorizado nas operações de desenvolvimento e produção de uma mina subterrânea no Brasil. Uma série de desafios devem ser considerados para que sistemas computadorizados embarcados em conjunto com infraestrutura de tecnologia da informação se tornem parte da estratégia operacional. Gestores devem efetivamente adaptar as organizações a novos padrões de segurança, eficiência operacional e gestão integrada da informação. A padronização de interfaces deve ser aceita como premissa básica para a integração de processos.
This study aims to discuss the concepts, challenges and perspectives related to automation and information technologies application in underground mines. Application examples contextualize current mining techniques and technology, future evolution and the interaction with human, operational and management aspects. Productivity and reliability data collected are used to study the utilization of a computerized drilling jumbo for development and production operations in an underground mine in Brazil. A series of challenges must be considered for onboard electronic systems combined with information technology infrastructure become part of the operational strategy. Leaders must effectively manage to adapt organizations to new standards. It is evident the value-added operation with all the benefits related to safety, operational efficiency and integrated information management. Interface standardization must be accepted as a basic premise for process integration.
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Stinnette, Joseph. "Establishing Total Airflow Requirements for Underground Metal/Non-metal Mines based on the Diesel Equipment Fleet." Thesis, 2013. http://hdl.handle.net/1974/8039.

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Traditionally, ventilation requirements for modern, mechanized underground mines have been based upon the power of the diesel equipment fleet, with a multiplier (determined from empirical data collected and compiled over a long period of time or required by regulations) being applied in order to determine the total airflow volume requirements of entire mines and/or individual sections or working areas. Often, in the absence of unusual geographic, climatic or geologic conditions that warranted special consideration, the airflow required for the dilution of diesel exhaust products would provide sufficient ventilation for the entire mine. However, recent studies regarding the health-effects of diesel exhaust, particularly the relationship between exposure to diesel emissions and cancer in humans, coupled with additional scrutiny on so called greenhouse gas emissions, have resulted changes to the regulations for engine and equipment manufacturers to provide cleaner burning and less polluting equipment; and are currently causing profound uncertainty in the mining industry. This influence is particularly felt in the case of ventilation engineers and those involved in long-term mine planning who have responsibility for designing the ventilation systems of both existing and future mining projects around the world. This thesis identifies the major parameters affecting airflow requirements for diesel-powered mining equipment and examines how each of them will change in scale and scope in the aftermath of regulatory changes mandating drastic reductions in the type and amount of diesel engine emissions. Culminating from this research, a new procedure for making total airflow determinations based on the underground diesel equipment fleet is proposed and tested with a practical case-study. Ultimately, the determination of the amount of airflow required for an underground mining operation or other sub-surface facility can depend on several factors, including the equipment fleet, ambient temperature, rock type, mining method and airway type (or use). Obtaining a universal, repeatable protocol for determining airflow quantities required for underground diesel equipment fleets is in the best interest of the industry as a whole, including ventilation practitioners, mine-planning engineers, mining financiers, executives, equipment manufacturers, and of course, the mine workers themselves, who perhaps have the most at stake of anyone involved in the equation.
Thesis (Master, Mining Engineering) -- Queen's University, 2013-05-23 22:33:11.36
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Books on the topic "Underground mining equipment"

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Conway, Ernest J. Maintainability design of underground mining equipment. [Pittsburgh, Pa.]: Bureau of Mines, U.S. Dept. of the Interior, 1988.

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Hendricks, P. A. Analysis of metal/nonmetal underground mining accidents involving mobile mining equipment. Pgh. [i.e. Pittsburgh] PA: United States Dept. of the Interior, Bureau of Mines, 1994.

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Pojar, Michael G. Surface and underground coal mine equipment population, 1982. Pittsburgh, Pa: U.S. Dept. of the Interior, Bureau of Mines, 1986.

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Bureau of Mines Technology Transfer Seminar (1983 Charleston, W. Va.). Cabs and canopies for underground coal mining equipment: Proceedings. Pittsburgh, Pa: U.S. Dept. of the Interior, Bureau of Mines, 1985.

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Runciman, Neil Arthur. Evaluation of underground mining equipment systems using discrete-event simulation with animation. Sudbury, Ont: Mineral Resources Engineering, Laurentian University, 1997.

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Australian Conference on Geotechnical Instrumentation and Monitoring in Open Pit and Underground Mining (1993 Kalgoorlie, W.A.). Geotechnical instrumentation and monitoring in open pit and underground mining. Rotterdam: A.A. Balkema, 1993.

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Sundae, Laxman S. Measurement of coal-cutting forces underground with the in-seam tester. Pittsburgh, Pa: U.S. Dept. of the Interior, Bureau of Mines, 1985.

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Weiss, E. S. Evaluation of explosion-resistant seals, stoppings, and overcast for ventilation control in underground coal mining. Pittsburgh, PA: U.S. Department of Health and Human Services, 2002.

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Hinton, Eric Herbert. Requirements for positioning of underground hard rock mining equipment and experimentation with a position estimating system. Sudbury, Ont: Mineral Resources Engineering, Laurentian University, 2000.

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Unger, Richard L. Underground coal mine track inspection and cleaning vehicle. Washington, DC: Dept. of the Interior, 1989.

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Book chapters on the topic "Underground mining equipment"

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Ozdeniz, Hadi, Osman Sivrikaya, and Cem Sensogut. "Investigation of Spontaneous Combustion of Coal in Underground Coal Mining." In Mine Planning and Equipment Selection, 637–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_61.

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Edyta, Brzychczy. "A New Solution Supporting the Designing Process of Mining Operations in Underground Coal Mines." In Mine Planning and Equipment Selection, 53–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_6.

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Nguyen, Quang Phich, Van Manh Nguyen, Heinz Konietzky, Quang Luat Nguyen, and Ngoc Anh Pham. "Numerical Simulation of the Influence of Water Inrush on Underground Coal Mining Stability in Vietnam." In Mine Planning and Equipment Selection, 629–36. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_60.

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Tutluoglu, Levend, Celal Karpuz, Hasan Ozturk, Dogukan Guner, and A. Gunes Yardimci. "Geotechnical Considerations for Mining Method Selection of a Potential Underground Iron Ore Mine in Mideastern, Turkey." In Mine Planning and Equipment Selection, 491–500. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_47.

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Dietze, Anne, and Helmut Mischo. "Possibilities and Restrictions for the New Generation of Mining Machines Using Mechanical Excavation Methods in Complex Drift Driving Systems in Underground Hard-Rock Mining." In Mine Planning and Equipment Selection, 291–301. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_30.

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Hassan, Syed Alley, Håkan Schunnesson, Jenny Greberg, and Anna Gustafson. "Transition from Surface to Underground Mining in the Arctic Region: A Case Study from Svartliden Gold Mine, Sweden." In Mine Planning and Equipment Selection, 1397–408. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02678-7_134.

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Baafi, Ernest, Senevi Kiridena, and Dalin Cai. "A Simulation Study of Underground Coal Mining Logistics and Roadway Development Performance." In Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019, 131–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33954-8_16.

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Montané, S., P. Nancel-Penard, and N. Morales. "Methodology to Optimize and Sequence the Semiautomated Ramp Design in Underground Mining." In Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018, 143–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99220-4_11.

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Montané, Sergio, Pierre Nancel-Penard, and Nelson Morales. "Optimization and Sequencing a Semiautomated Ramp Design in Underground Mining: A Case Study." In Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019, 139–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33954-8_17.

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Rojas, V., T. González, and N. Morales. "Generation of a Monthly Mining Development Plan for Underground Mines Using Mathematical Programming." In Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018, 165–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99220-4_13.

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Conference papers on the topic "Underground mining equipment"

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Ahmed, Syed Naeem, Justin Gagnon, Rahat Naeem, and Jie Wang. "New methods and equipment for three-dimensional laser scanning, mapping and profiling underground mine cavities." In First International Conference on Underground Mining Technology. Australian Centre for Geomechanics, Perth, 2017. http://dx.doi.org/10.36487/acg_rep/1710_37_ahmed.

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Jobes, Christopher C., and Jacob Carr. "Dynamic Modeling System to Determine Stopping Distances of Mobile Underground Coal Equipment." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86422.

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In underground coal mines, miners face the hazard of being struck or pinned by a piece of mobile mining machinery. Proximity detection systems have been developed and are used by the industry to protect miners around these machines by detecting the presence of the miners and automatically issuing warnings or disabling machine motion when a miner is in potentially dangerous proximity. These systems were originally developed for continuous mining machines, slow-moving machines that move on bulldozer-style tracks, and are now mandated by the Mine Safety and Health Administration (MSHA) to be used on continuous mining machines. These systems are now being adapted to other underground vehicles, such as shuttle cars, scoops, and battery haulers — vehicles that move on rubber tires at much higher speeds. There are concerns that the detection range of these systems may not provide for an adequate stopping distance on these faster moving machines. To address these concerns, researchers have developed a dynamic modeling system to determine the stopping distance of mobile underground coal equipment. This model can be used in conjunction with worker escapability data and/or information on interaction with other vehicles to provide insight into whether or not proximity detection systems will be adequate for the underground mining workplace. This paper details the background, development, and operation of the resulting application software, focusing on the utility of the graphical user interface to visualize the generated data. The refined data developed by this process can then be utilized by mine operators and proximity detection system manufacturers to more accurately determine the detection range needed to provide effective protection for miners working in an underground mining environment.
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Kaluski, M., M. Michalak, K. Spalt, and M. Szafranska. "Practical examples of underground mining equipment lack of Electromagnetic Compatibility." In 2014 International Symposium on Electromagnetic Compatibility - EMC EUROPE. IEEE, 2014. http://dx.doi.org/10.1109/emceurope.2014.6931082.

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Swan, Graham, and Johan Hedlin. "Mining initiative on ground support and equipment: 12 years of accomplishments." In Ninth International Symposium on Ground Support in Mining and Underground Construction. Australian Centre for Geomechanics, Perth, 2019. http://dx.doi.org/10.36487/acg_rep/1925_20_swan.

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5

Noll, James, Cory DeGennaro, Jacob Carr, Joseph DuCarme, and Gerald Homce. "Causal Factors of Collision Accidents Involving Underground Coal Mobile Equipment." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70714.

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From 2000–2015, thirty-two fatalities occurred due to collisions involving mobile equipment in underground coal mining in the United States. Studies have shown that proximity detection systems (PDS) can be a potential mitigation strategy for this type of accident. However, the effectiveness of this approach for mobile equipment has yet to be fully studied or validated. Researchers at the National Institute for Occupational Safety and Health (NIOSH) evaluated the causal factors of this type of fatality. Fatal accident reports from the Mine Safety and Health Administration (MSHA) accident report database provided details to analyze and determine causal factors and to evaluate whether a PDS may have been a preventive factor in each accident. NIOSH researchers concluded that PDSs used in underground coal mines on mobile equipment which are designed to detect a miner, provide warning to the operator and other miners, and automatically stop the machine before a miner is hit may have helped to prevent 25 of the 32 or 78% of the accidents.
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Miller, R. E., and A. L. Miller. "Refueling and On-board Storage System Options for Hydrogen-Powered Underground Mining Equipment." In 2005 SAE Commercial Vehicle Engineering Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-3637.

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Zhang, Guangchao, Chuanwe Zang, Zhijie Wen, Bangyou Jiang, and Feng Wang. "Reliability Analysis for Bolt-shotcrete Support System in Underground Tunnels." In 9th China-Russia Symposium “Coal in the 21st Century: Mining, Intelligent Equipment and Environment Protection". Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/coal-18.2018.31.

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Li, Chen, Zihong Gao, Ziheng Sheng, Weihong Wu, Difei Xu, and Zhenxing Ming. "Key Technology Simulation of Equipment Anomaly Detection Based on Image Processing In Underground Mining." In 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2020. http://dx.doi.org/10.1109/itoec49072.2020.9141714.

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Kulikova, Elena. "Conditions of Leaks Formation in Load-bearing Structures of Underground Buildings." In 9th China-Russia Symposium “Coal in the 21st Century: Mining, Intelligent Equipment and Environment Protection". Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/coal-18.2018.60.

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Camargo, Hugo E., Adam K. Smith, Peter G. Kovalchik, and Rudy J. Matetic. "Noise Source Identification on a Continuous Mining Machine." In ASME 2008 Noise Control and Acoustics Division Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ncad2008-73024.

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Noise Induced Hearing Loss is the most common occupational disease in the U.S. and of paramount importance in the mining industry. According to data for 2006 from the Mine Safety and Health Administration (MSHA), Continuous Miner operators accounted for 30.2% of underground mining equipment operators with noise doses exceeding the Permissible Exposure Limit (PEL). This figure becomes more significant considering that 49% of the 2006 national underground coal production was extracted using continuous mining methods. Thus, there is a clear need to reduce the sound radiated by Continuous Mining Machines. The first step towards efficient noise control of a Continuous Mining Machine requires identification of the various noise sources under controlled operating conditions. To this end, a 42-microphone phased array was used in conjunction with 4 reference microphones to sample the acoustic field of a machine in the Hemi-anechoic chamber of the Pittsburgh Research Laboratory. These data were processed using a frequency-domain beamforming algorithm to obtain acoustic maps of 5 sides of the machine. The focus of the test was on the conveyor noise since previous studies showed that operation of the conveyor is the most important contributor to the sound radiated by the machine. From the acoustic maps, the following potential areas for noise control were identified, and included: chain-tail-roller interaction, chain flight tip-side board interaction, and chain-upper deck interaction.
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Reports on the topic "Underground mining equipment"

1

Analyses of mobile equipment fires for all U.S. surface and underground coal and metal/nonmetal mining categories, 1990-1999. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, January 2004. http://dx.doi.org/10.26616/nioshpub2004105.

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