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Relevant bibliographies by topics / Mining machinery

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Academic literature on the topic 'Mining machinery'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Mining machinery"

1

Deneen, Michael A., and Andrew C. Gross. "World Mining Machinery." Business Economics 44, no. 3 (July 2009): 169–76. http://dx.doi.org/10.1057/be.2009.2.

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Zhou, Hua Wen. "Analysis and Design on Coal Mining Machinery System." Advanced Materials Research 981 (July 2014): 765–68. http://dx.doi.org/10.4028/www.scientific.net/amr.981.765.

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The rational design of coal mining machinery improves the efficiency of coal production and reduces the production cost. Basing on specific mining examples, a set of mining machinery system was obtained by technologically analyzing the calculation of production efficiency, as well as the selection of mining machinery, supporting device, and conveyor etc.

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Kononov, Valery A. "Telecontrol for Mining Machinery." IFAC Proceedings Volumes 28, no. 17 (August 1995): 21–27. http://dx.doi.org/10.1016/s1474-6670(17)46740-1.

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Kanazawa, Tomohisa, Mitsutaka Matsumoto, Mitsuhiro Yoshimoto, and Kiyotaka Tahara. "Environmental Impact of Remanufacturing Mining Machinery." Sustainability 14, no. 13 (July 2, 2022): 8118. http://dx.doi.org/10.3390/su14138118.

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In this study, we assessed the environmental impact of the remanufacturing of mining machinery components, by analyzing commonly used parts in a machine setup. No previous studies have conducted a detailed environmental impact assessment of any manufacturing processes for new or remanufactured components used in mining machinery. We analyzed the system boundaries and conducted inventory analysis to understand their function and determine their unit role in the machine. Then, we evaluated the environmental impacts of the manufacturing processes for the subparts and assy parts, along with the impact of logistic and remanufacturing processes. In particular, we assessed hydraulic equipment, which is a common component of mining machinery, and conducted a comparative assessment of the environmental impacts of new and remanufactured components. Our results indicated that the global warming potential (GWP) per mining machine throughout its lifecycle (LC) could be reduced by ~194 ton-CO2eq./LC. Assuming that the number of mining machinery in operation at a global scale is 571 machines (or units) per year, the GWP would be reduced by ~110,000 ton-CO2eq./year.

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Gao, Chao Xiang, Chong Wang, and Xiao Hong Ren. "Research on Mining Machinery Gear Materials." Advanced Materials Research 503-504 (April 2012): 680–83. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.680.

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For many problems and defects in 20Cr2Ni4 steel application, through the analysis of mining machinery gear working condition, comparative study in cutting, forging, carburizing layer performance, heat treatment process, heat treatment deformation, mechanical properties, deformation resistance and abrasion resistance of overload capacity of 20CrNi2Mo and 20Cr2Ni4 steel respectively. The results show that, using 20CrNi2Mo steel instead of 20Cr2Ni4 steel in the mining machinery heavy-duty gear is feasible.

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Evstratov, V. A., E. Yu Voronova, Yu N. Linnik, V. Yu Linnik, A. S. Apachanov, V. I. Grigoryev, and V. A. Suxarnikova. "Designing mining machinery screw modules." IOP Conference Series: Materials Science and Engineering 1064, no. 1 (February 1, 2021): 012010. http://dx.doi.org/10.1088/1757-899x/1064/1/012010.

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Andreeva, L. I. "MACHINERY AVAILABILITY EVALUATION IN MINING." MINING INFORMATIONAL AND ANALYTICAL BULLETIN 5 (2018): 136–43. http://dx.doi.org/10.25018/0236-1493-2018-5-0-136-143.

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Fan, Zehua, Nannan Zhang, Xiao Zhang, Desheng Wang, and Gang Wu. "Data Mining Technology for Agricultural Equipment Machinery and Information Network Data Resources." Wireless Communications and Mobile Computing 2022 (July 14, 2022): 1–8. http://dx.doi.org/10.1155/2022/3899618.

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In order to realize the automation and intelligence of agricultural equipment mechanical state detection and improve the efficiency and accuracy of agricultural machinery equipment detection technology, this paper proposes an intelligent agricultural machinery equipment state detection method based on computer data mining. This method uses support vector machine to classify the equipment status and uses ant colony algorithm to solve the optimization problem. Its basic logic is to collect the status data of agricultural machinery equipment, extract the status detection characteristics of agricultural machinery equipment, and use computer data mining to establish an automatic state detection model of agricultural machinery equipment. The application results show that the correct rate of the state detection of agricultural machinery equipment is more than 95%, and the false detection rate of the state of agricultural machinery equipment is far lower than that of other current state detection methods of agricultural machinery equipment. Conclusion. This method can realize high-precision real-time detection of agricultural machinery equipment and has higher practical value.

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Zhao, Gang, Dong Xiang Jiang, Kai Li, and Jin Hui Diao. "Data Mining for Fault Diagnosis and Machine Learning for Rotating Machinery." Key Engineering Materials 293-294 (September 2005): 175–82. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.175.

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Data mining is used not only for database analyses, but also for machine learning. The data mining technique described in this paper was used for steam turbine fault diagnostics based on continuous data measurements. The classification rules are based on standardized vibration frequency data for steam turbines and field experts’ analyses of turbine vibration problems. The expert knowledge enables the steam turbine fault diagnosis system to be more powerful and accurate. The system can identify twenty types of standard steam turbine faults. The system was developed using 2000 simulated data sets. The data mining methods were then used to identify 20 explicit rules for the turbine faults. The method was also used with actual power plant data to successfully diagnose real faults. The results indicate that data mining can be effectively applied to diagnosis of rotating machinery by giving useful rules to interpret the data.

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Lyukshin, Vladimir, Dmitry Shatko, and Pavel Strelnikov. "Design optimization of tumbling media for processing mining machinery parts." E3S Web of Conferences 134 (2019): 01024. http://dx.doi.org/10.1051/e3sconf/201913401024.

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Traditionally, in any country, mining industry is a strategic sector of the economy, for the development of which a large amount of resources necessary for the production of modern mining equipment, machinery and mechanisms are allocated. In recent years, a steady trend of technical re-equipment of mining enterprises is noted. This measure allows improving labor productivity and increasing the depth of mining due to the modernization of the existing mining equipment and the introduction of the new one; key attention being paid to the quality and reliability of the equipment produced. The current situation of the domestic mining machinery manufacturing market clearly demonstrates a strong dependence on foreign suppliers. In this case, a competent approach to the issues of import substitution in the industry, providing for the development and production of competitive domestic mining equipment that meets all the requirements and expectations of consumers, is urgently needed. As a rule, manufacturers of mining equipment use the entire machinery manufacturing cycle, ranging from blanking and to product assembly. At all stages of manufacturing, it is necessary to follow part processing technology, providing for the assurance of the required surface roughness, surface layer properties and other quality indicators. All this can be provided by a promising method of part processing – tumbling.

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Dissertations / Theses on the topic "Mining machinery"

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Ketelaar, Jan P. J. "The effective use of power in Longwall coalwinning machinery." Thesis, University of Newcastle Upon Tyne, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278735.

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Rekhibi, Soliman Abograra. "Condition monitoring of mining machinery using debris particle size distribution." Thesis, University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335821.

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Fricke, Roland. "The repetitive impact wear of steels for hydro-powered mining machinery." Master's thesis, University of Cape Town, 1991. http://hdl.handle.net/11427/18214.

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The repetitive impacting of solid components in industry can result in wear damage which may significantly limit service life. Impact wear problems have been encountered in hydro-powered stoping equipment (eg rockdrills and impact rockbreakers) developed for deep level gold mining in South Africa. This research project was a study of the repetitive impact wear of reciprocating valve components (eg poppet valves within the impact rockbreaker) under simulated conditions. A laboratory apparatus, capable of producing impacts varying in energy from 2 - 5 J and varying in frequency from 5 - 50 Hz in an aqueous environment (distilled water), was designed and built for this purpose. Impact tests were conducted in order to: a) rank materials according to impact wear resistance, b) to determine modes and mechanisms of wear, c) to determine material, microstructural, design and operating parameters of importance in minimising wear, d) to make recommendations concerning the above, to facilitate productivity and longlife of poppet valves within impact rockbreakers. The materials selected for testing (817M40, 1210 and AISI 304, AISI 431 and AISI 440C) are steels currently used by the gold mining industry in different applications and known to perform satisfactorily in service. These materials are not all ideally suited to application in valves. They were chosen in order to illustrate how different steel compositions, microstructures and heat treatments influence the rate and mode of wear.

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Elmaci, Bilhan. "The detection and wear in mining machinery by debris particle size distribution." Thesis, University of Nottingham, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.352968.

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Hancock, David John. "The use of fractal analysis for wear particle characterisation in the mining industry." Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357847.

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Kienle, Ulrich F. B. "A laboratory simulation of adhesive wear of high speed reciprocating components in water powered mining equipment." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/22575.

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Bibliography: pages 117-120.
A high-speed reciprocating sliding wear test rig was used to examine the metal on metal surface interactions of materials under consideration for application in water powered stoping equipment. The suitability of this test rig was investigated by implementing a test programme covering self-mated stainless steel and stainless steel-on-bronze couples. These couples were examined under water lubricated conditions in a broad test matrix, covering sinusoidal peak velocities of 1, 5 and 10 m/s; loads of 5, 10 and 20N and surface roughness values ranging from 0.2 to 0.4 μm, CLA. Due to poor reproducibility and inconclusive wear behaviours, no inferences could. be made as to the relative performance of the couples tested and no ranking tables could be compiled, In response to these findings, the emphasis changed to the design of a better test facility which could more accurately simulate the tribological interactions of interest. A new laboratory test rig, capable of investigating the performance of material surfaces, rubbing against one another under conditions of high speed reciprocating sliding in specific environments, was designed, built and commissioned. Subsequent tests conducted on this new facility showed average reproducibility for a 122 stainless steel rubbing against a CZ114 manganese bronze to have improved by a factor of two to approximately ± 20%. Initial results confirmed that adhesive wear is the dominant wear mode for the materials under consideration. This is manifested by homogeneous transfer layers and subsequent grooving of these layers.

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Radlowski, Jacek K. "In-pit crushing and conveying as an alternative to an all truck system in open pit mines." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/28512.

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The material transport system in an open pit mine significantly affects the capital and operating costs. All truck haulage is the most common and is a reliable and flexible transport system. On the other hand, this system is very expensive and can cost up to 50% of total mining costs. Its cost is continuously increasing due to the inflation of the fuel, tire, and labour expenditures. In-pit crushing and conveying is an alternative transport system which requires a higher initial investment but gives substantial savings in operating costs. An evaluation of the all truck system versus the in-pit crushing and conveying system has been performed by means of a simulation of both transport systems in the same mine model. Results of the simulation and the data obtained from the feasibility studies provided input for an economic comparison of the alternative transport systems. A cash flow analysis showed that the in-pit crushing and conveying system was competitive with the all truck system, giving a payback within four years and resulting in total costs over 30% lower than those of an all truck system. Three computer programs, written by the author, have been used to analyse the mine model: (1) Open Pit Simulation Program - to model a hypothetical mine and simulate its haulage operation over the mine life, (2) Off-Highway Truck Simulation Program - to simulate the truck haulage on average annual routes in terms of the operating time and fuel consumption for the estimation of the truck fleet size and the fuel cost, (3) Cash Flow Analysis Calculation Program - to compare costs of the alternative transport systems over the whole period of a mine life.
Applied Science, Faculty of
Mining Engineering, Keevil Institute of
Graduate

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Eggers, Berndt Leonard. "Draglines gear monitoring under fluctuating conditions /." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-08272008-134253/.

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Stojanovic, Biljana B. "Overvoltage and insulation co-ordination in underground mine power systems." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36107/1/36107_Stojanovic_1998.pdf.

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In recent years mining electrical equipment on various coal mine sites in Queensland have experienced failures on 3.3 kV system insulation. The reported failures have occurred at the load side of the transfo1mer in underground substations. This raised concerns that switching surges associated with vacuum circuit breakers (VCBs) were adversely interacting with systems that used neutral earthing reactor (NER) as a means of earth fault limitation. This implied a need to study the performance of NERs in conjunction with switching ofVCBs, in order to identify the expected overvoltage levels. The series of tests carried out on 1.1 kV and 3.3 kV systems revealed the levels of switching overvoltages that should not result in equipment failure, provided that the system insulation complies with standard insulation levels recommended in the Standard. System tests were simulated using Transient Network Analyser (TNA) to give predictions of overvoltage levels for worst case conditions. The levels of harmonic voltages for a typical mine power system were examined using Electrical Power System Analysis Suite (ERA CS). As a result the possible levels of overvoltages in underground mine power systems were identified and means of overvoltage protection were recommended. The recommendation is also given for the development of overvoltage type test for mining equipment including NERs.

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Clark, David. "Terotechnology : its application to the Australian coal mining industry." Thesis, Queensland University of Technology, 1995. https://eprints.qut.edu.au/36236/1/36236_Clark_1995.pdf.

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Tererotechnology evolved between 1970 and 1975. In 1968 PA Management Consultants Ltd., was commissioned by the then Minister of Technology of the UK to carry out a study of engineering maintenance in British manufacturing industry. It reported that:- a) the total direct cost of engineering maintenance was approximately 1, 100 Million Pounds per annum (circa 1968) b) improved productivity of maintenance staff could have led to a reduction in maintenance expenditure of around 250 Million Pounds per annum. c) better maintenance could have saved about 300 Million Pounds per annum of lost production caused by unavailability. Using this and other information a UK Ministry of Technology working party reporting in 1970 emphasised among other things, the importance of the link between maintenance costs and the feedback of information to the designers of the plant. A steering committee ( The Committee for Terotechnology) was then set up to examine the broader findings of this report and in 1972 published their conclusions, central to which was the statement - "the nature of the maintenance activity was determined by the manner in which plant and equipment was designed, selected, installed, commissioned, operated, removed and replaced. Major benefits could come to British Industry from the adoption of a broadly based technology which embraces all these areas, and because no suitable word exited to describe such a multidisciplinary concept, the name "terotechnology" (based on the Greek word "terin" - to look after) was adopted." In 1975 the Committee for Terotechnology defined terotechnology as follows:- " a combination of management, financial, engineering and other practices applied to physical assets in pursuit of economic life cycle costs." The following was then added: " .... its practice is concerned with the specification and design for reliability and maintainability of plant , machinery equipment, buildings and structures, with their installation and replacement, and with the feedback of information on design, performance and costs." (1) The definition was subsequently utilised in BS.3811 1984. The concept ofterotechnology is therefore, a total concept, colloquially called whom to tomb. The Australian underground coal mining industry is a. two billion dollar a year industry, contributing greatly to the Australian economy, particularly the export economy. Appendix CI-1 gives an overview of the industry. (2) Having spent over 30 years in the industry, most of which was in engineering and maintenance, I was acutely aware that the industry committed many millions of dollars maintaining its plant and equipment. I was also aware that the equipment design was, in the main, maintenance unfriendly. Also, equipment failures were responsible for many lengthy and expensive delays resulting in interruptions to the production process and loss of production. Whilst many endeavours were made to improve the situation, I became persuaded that a much deeper problem existed, the results of which were being addressed but little effort seemed to be spent on addressing the fundamental causes of the problems resulting in equipment downtime and its consequences. Having been exposed to the discipline of terotechnology through studies for a Graduate Diploma in Maintenance Management (Terotechnology), I sought to study the industry's perception of itself in the terotechnological perspective. This resulted in my initial industry survey in 1985, of its maintenance and its management. The results identified that indeed a problem did exist but needed a more indepth and expanded industry analysis for the real details to be quantified. To my knowledge, no previous research has been conducted into the terotechnological aspects of the coal mining industry. Consequently, the research was commenced through QUT for a Master of Engineering Degree. This Thesis is the results of that research. The research sought to address the fundamental issues addressed in the UK study and to determine if indeed similar savings could be achieved in the Australian coal industry. That is a) to determine the cost of engineering maintenance b) to detennine the maintenance cost savings achievable if maintenance could be improved. c) to determine the costs of lost production costs through maintenance causes. The research commenced by issuing a survey document in 1989 and followed this up with detailed analysis of coal industry records. Two visits to the USA in 1991 and 1992, to discuss equipment performance and design with designers and users also contributed to the research. The underground coal mining industry uses two basic methods of mining to mine the coal in Australia. One is Bord and Pillar extraction method using continuous miner systems and the other is Longwall extraction methods. The research concentrated heavily on continuous miners as they were identified as having the greatest impact on maintenance and productivity in the immediate future. Longwall is the technology of the future analysed but to a lesser extent than continuous miners, as a detailed industry analysis was being conducted by the coal industry of this technology during my research of continuous miners. The Australian underground coal mining industry is being forced to become more world wide competitive than at any time in its history. It follows therefore, that whatever the technology used to produce the coal, the four elements of:- a) Fit for purpose equipment b) Competent people c) Safe work procedures d) Controlled work environment must be addressed. This is consistent with the terotechnological approach of this research. Results of the research follow in this document.

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Books on the topic "Mining machinery"

1

Canada, Industry Science and Technology Canada. Mining equipment. Ottawa, Ont: Industry, Science and Technology Canada, 1988.

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Canada, Industry Science and Technology Canada. Mining equipment. Ottawa: Industry, Science and Technology Canada, 1991.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. Virtual Reality Technology in Mining Machinery. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4408-5.

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Co, Klondyke Exploration, ed. The Morrison Gold-Saver: Patent applied for the Klondyke Exploration Co., Limited, London, Ontario sole manufacturers for the Dominion of Canada. [S.l: s.n., 1987.

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Stack, Barbara. Encyclopaedia of tunnelling, mining, and drilling equipment. Hobart, Australia: Muden Publishing, 1995.

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Stack, Barbara. Encyclopaedia of tunnelling, mining and drilling equipment. Hobart: Muden Publishing Company, 1995.

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D, Ignatʹev A. Nadezhnostʹ i optimizat͡sii͡a parametrov gornykh mashin. Moskva: IGD im. A.A. Skochinskogo, 1987.

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(Firm), Leading Edge Reports, ed. Outlook for mining equipment. Cleveland Hts., OH: Leading Edge Reports, 1991.

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(Firm), H. M. Gousha, ed. Logging & mining equipment lubrication recommendations. San Jose, CA: H.M. Gousha, Simon & Schuster, 1989.

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United States. International Trade Administration. Capital Goods and International Construction Sector Group. A Competitive assessment of the U.S. mining machinery industry. Washington, D.C: International Trade Administration, U.S. Dept. of Commerce, 1986.

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Book chapters on the topic "Mining machinery"

1

Liang, Xie, and Xu Kuangdi. "Mining Machinery, Classification of." In The ECPH Encyclopedia of Mining and Metallurgy, 1–2. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0740-1_178-1.

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Lingzhong, Meng, and Xu Kuangdi. "Metallurgical Machinery." In The ECPH Encyclopedia of Mining and Metallurgy, 1–3. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-0740-1_1342-1.

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Baǧdelen, Cahit, Heiko Paulheim, Markus Döhring, and Atreju Florian Tauschinsky. "Towards Generalizable Machinery Prognostics." In Advanced Data Mining and Applications, 289–306. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95405-5_21.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Virtual Assembly Method Based on OSG." In Virtual Reality Technology in Mining Machinery, 51–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_4.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Working Condition Monitoring and Virtual Simulation Method." In Virtual Reality Technology in Mining Machinery, 215–40. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_12.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Virtual Assembly Method Based on UG." In Virtual Reality Technology in Mining Machinery, 81–105. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_5.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Virtual Assembly Network Method." In Virtual Reality Technology in Mining Machinery, 123–32. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_7.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Virtual Simulation Element Model Transformation Technology and Model Base." In Virtual Reality Technology in Mining Machinery, 35–49. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_3.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Sensor Information Architecture and Virtual Reality Interaction Technology." In Virtual Reality Technology in Mining Machinery, 199–213. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_11.

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Wang, Xuewen, Jiacheng Xie, and Suhua Li. "Human–Machine Interaction Method of Virtual Assembly." In Virtual Reality Technology in Mining Machinery, 107–21. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4408-5_6.

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Conference papers on the topic "Mining machinery"

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Latos, Mariusz, Slawomir Bartoszek, and Joanna Rogala-Rojek. "Diagnostics of underground mining machinery." In 2014 19th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE, 2014. http://dx.doi.org/10.1109/mmar.2014.6957455.

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Vahed, Amir Taghizadeh, Behzad Ghodrati, Nuray Demirel, and Morteza Hosseini Yazdi. "Predictive Maintenance of Mining Machinery Using Machine Learning Approaches." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Singapore: Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2724-3_0756-cd.

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Spasojevic Brkic, Vesna, Aleksandar Brkic, Martina Perisic, and Zorica Veljkovic. "Transport and Mining Machinery Foot Controls: Safety and Human Factors View." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003598.

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Extremely rare research has been carried out related to the assessment of the anthropometric convenience of transport and mining machinery cabins and its human-centered design. The importance of studying this problem largely exceeds the number of published works. Despite today's the risk awareness, incidents in heavy machinery operations have not substantially decreased. Transport and mining machinery operators’ job is very demanding since high precision is needed and they remain in cabins during almost the whole shift. Inadequate shape and dimensions of control devices, their inadequate arrangement in the cabin, as well as mismatch of the forces required to activate the control devices with the anthropometric characteristics of the operator, have an impact on the quality of the performance of the work task and overall safety. Foot controls are of special importance, so aim of this paper was to examine and compare transport and mining machinery operators’ height and weight and foot controls ergonomics convenience. Samples of 31 transport machinery and 65 mining machinery operators working in Serbian and Montengrin companies were examined. Descriptive statistics included sample sizes, mean values, median, minimum and maximum, range, standard deviation and coefficient of variation expressed in percentages. In cases when the coefficient of variation is greater than 30%, the variable is inhomogeneous, thus non-parametric statistics is used. Otherwise, the Kolmogorov test for normality was additionally conducted, where the d test values and p values for the Kolmogorov test were given. Comparison of operators’ height and weight have not shown differences found between transport and mining machinery. Descriptive statistics regarding vibrations feeling through the foot controls and its easiness to be reached and used/controlled of both transport and mining machinery has been done and although slightly lower values are obtained from mining machinery operators, statistically significant differences have not been found, too. The last data that was compared between operators of transport and mining machinery are injuries at work, for which proportions were used, where it was shown that 16,129% of operators of transport machinery had injuries, while that number among operators of mining machinery was 13,846%. The comparison again showed that this difference is not statistically significant, given that the p-level of the test is 0.7205. Later on, failures and stoppages of both types of machinery are collected and analyzed and Pareto diagrams are given, where completely different causes are evident in the field of “vital few” causes. Anyhow, since statistically proved facts show that there are no differences regarding safety and human factors issues it could be indicated to designers that there is the possibility of applying the same innovative solutions to both types of mechanization in the field of foot controls. Further collection and analysis of anthropometric dimensions is recommended as future research avenue.

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HOSEINIE, SEYED HADI, BEHZAD GHODRATI, and DIEGO GALAR. "Smart Maintenance Solutions for Automated Mining Machinery." In Third International Conference on Advances in Mechanical and Automation Engineering - MAE 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-080-4-110.

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Spasojevic Brkic, Vesna, Mirjana Misita, Neda Papic, Aleksandar Brkic, and Martina Perišić. "Ergonomic Adjustment Needs of Transport and Mining Machines: A Preliminary Study of Operators' Attitudes in Serbia." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005347.

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Previous studies suggests that accidents and/or incidents involving heavy machinery are unanticipated and unfortunate occurrences most frequently caused by human error. Therefore, the primary objective of this research was to conduct a preliminary investigation into the views held by operators of transport and mining machinery towards the ergonomic adjustment of their work environment to accommodate their specific needs. Namely, the aim of this paper is to analyze the various factors that contribute to the degradation of working conditions, leading to the emergence of occupational diseases and to the likelihood of accidents and incidents. In this research, the factors that influence the possibility of human error due to unfavorable workplace conditions, ergonomic characteristics of the cabin, the physical condition of the operator, job satisfaction and management commitment were analysed, as those factors are recognized by previous research.The research utilized a questionnaire tool to gather data from individuals operating machinery in the transportation and mining industries. There were 93 operators of transport and mining machines willing to participate in this survey, of which 65 were operators of various mining machines, while 28 operators worked on cranes. All surveyed crane operators have an average height in the range of 165-182 cm and a weight of 70-102 kg. Surveyed operators of mining machines have an average height in the range of 166-190 cm, but there are high deviations from the average weight, i.e. 9.23% of them have a weight of over 110 kg, that is, the weight is in the range of 60-150 kg. The examined machines included cranes with a span from 9 to 25 m and its load capacity from 10 to 160 tons, as well as excavators, bulldozers, drills, dumpers, backhoe loaders, bucket wheel excavators and loaders. The data was subsequently subjected to further analysis using descriptive statistics, cluster and principal component analysis. The study's results have provided evidence to support the initial premise, suggesting that human error is the primary cause of accidents and incidents involving transportation and mining machinery. The main cause factor, as perceived by a considerable majority of mining operators (79.9%) and crane operators (40%) is human error. The results suggest that there are differences in the ergonomic adjustment of workplaces of mining and transport machinery operators in manner that mining industry workplaces are better adjusted then transport industry workplaces.Cluster and principal components analysis led to the following conclusions. The key factors affecting the reduction of the quality of the working conditions of operators on mining machines are related to the seat rotation, absence from work due to poor working conditions (sick leave), nonadjustable armrests or non-existing armrests or armrests which are not set at the right height. The key factors that affect the quality of the crane operator's working conditions, are connected to characteristics of armrests (no armrests, armrests not at the right height, armrests are not adjustable), seat characteristics (seat height is not adjustable, seat is not adjustable horizontally, seat has not lumbar support, seat cannot recline, seat cannot be rotated), controls adjustment issues, the temperature in cabin regulation, visibility issues and to the absence of management commitment.A general recommendation as a measure to improve working conditions for operators of mining and transport machines is the usage of ergonomically adjusted seats with armrests. A proposal to introduce cameras that provide operators with better side and rear visibility could be considered, too, in aim to reduce the burden on the operator during reversing movements. In terms of management commitment, further focus on ergonomics climate is necessary to enable better working conditions for mining and transport machinery operators.Sample size enlargement is proposed as the future research avenue.

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Zhang, Zeyu, Jizhuang Hui, Shihao Gao, Ze Shi, Xuhui Zhang, and Hongwei Fan. "Research on threshold denoising method of mining machinery." In 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2020. http://dx.doi.org/10.1109/itnec48623.2020.9084949.

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Dunn, Mark T., Jeremy P. Thompson, Peter B. Reid, and David C. Reid. "High accuracy inertial navigation for underground mining machinery." In 2012 IEEE International Conference on Automation Science and Engineering (CASE 2012). IEEE, 2012. http://dx.doi.org/10.1109/coase.2012.6386402.

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Wang, Donglin, Feifei Xing, Xiangming Kong, and Jun Ji. "Data mining model of continuous casting cutting machinery." In 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), edited by Xuebin Chen and Hari Mohan Srivastava. SPIE, 2023. http://dx.doi.org/10.1117/12.2686398.

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Milošević, Isidora, Anđelka Stojanović, Que Xiaoju, Đorđe Nikolić, and Sanela Arsić. "The impact of safety factors on the safety sustainability of operators in mining companies: A manager's perspective." In XIX International May Conference on Strategic Management – IMCSM24 Proceedings. University of Belgrade, Technical Faculty in Bor, 2024. http://dx.doi.org/10.5937/imcsm24009m.

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The mining industry is a crucial driver of economic development, yet it faces significant challenges due to its hazardous nature. Safety and health at work are paramount for sustainable operations within this industry. This study focuses on managers' perceptions of workplace safety factors concerning mining machinery operators and explores how technical, human, and organisational factors influence mining operators' sustainable safety efforts. A survey was conducted in mining companies to analyse management opinions regarding factors influencing occupational safety and health in mining machinery operators. The data collected was statistically processed using the software package SPSS. Statistical tests were used based on the collected data and opinions of the managers. This research's implications are reflected in the identification of key factors that contribute to the effective implementation of security measures and practices. Despite its limitations, the results offer strong empirical support for the proposed theoretical model. These findings provide valuable guidance for researchers and practitioners seeking to enhance safety in the workplace for mining machinery operators. Through an in-depth analysis of these factors, mining company managers can identify key aspects contributing to the effective implementation of security measures and practices. Finally, a framework will be created that will enable the sustainable management of the safety activities of mining machinery operators, which will result in a reduction in the risk of injury and an improvement in the health of workers in the mining sector.

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Wang, Fei. "The Symbiotic Relationship between Coal Mining Machinery Enterprises and Coal Mining Enterprises in China." In 2009 Second International Workshop on Knowledge Discovery and Data Mining (WKDD). IEEE, 2009. http://dx.doi.org/10.1109/wkdd.2009.152.

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Reports on the topic "Mining machinery"

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Singhal, R. K. Trip report: to European research and development organizations and mining machinery. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304833.

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Muelaner, Jody Emlyn. Decarbonized Power Options for Non-road Mobile Machinery. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, January 2023. http://dx.doi.org/10.4271/epr2023002.

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<div class="section abstract"><div class="htmlview paragraph">Power options for off-road vehicles differ substantially from other commercial vehicles. Battery electrification is suitable for urban construction and light agriculture, but remote mining, forestry, and road building operations will require alternative fuels.</div><div class="htmlview paragraph"><b>Decarbonized Power Options for Non-road Mobile Machinery</b> discusses these domains as well as the potential benefits and challenges of implementing fuels and energy sources such as bioenergy, e-fuels, and alcohol, as well as hydrogen, hydrocarbon, and direct methanol fuel cells.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>

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Sarin, N. K. Spray ignition test for mine hydraulic fluids operating procedure. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331776.

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This report describes one of the several tests performed on mine hydraulic fluids in accordance with CSA standard M423 187. Emphasis is placed on the sequence of operations and safety procedures necessary while carrying out the spray ignition test. The test is intended to determine the fire-resistance of several types of hydraulic fluids used in mining machinery. Schematic diagrams of the test facility, equipment, and a circuit diagram of the related instrumentation are presented at the conclusion, along with samples of test recording sheets.

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Steiner, Roberto. Taxation and Economic Growth in Colombia. Inter-American Development Bank, March 2014. http://dx.doi.org/10.18235/0011622.

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This Working Paper assesses the impact on investment of a reduction in corporate taxes and the impact on employment, labor formality, and growth of a reduction in non-wage labor costs in Colombia. First, and following Hall and Jorgensen (1967), we estimate an investment function, which depends on the user cost of capital, one of whose determinants is the corporate tax rate. Our estimations suggest that a reduction of the corporate tax rate from 33 to 23 percent--as originally envisioned by the government in early 2012, but finally not included in the reform submitted to Congress--has very different short and long-term effects on investment in machinery and equipment. While the user cost of capital declines 0.9 percent, investment (excluding the oil and mining sector) increases on impact only 28 bps in relation to GDP, an increase that does not compensate the fiscal cost incurred. In the long term, however, it is likely that the significant boost in investment (of around 5 percent of GDP) makes such a policy intervention fiscally sustainable. Second, using a computable general equilibrium model calibrated for Colombia, we estimate that the reduction of the "pure tax" component of non-wage labor costs approved in late 2012 is associated with a 0.5 percent increase in overall employment and, more importantly, with a 1.4 percent increase in formal sector employment. Our estimations indicate that this is achieved at no fiscal cost since government revenue increases as a result of higher output and employment.

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Mangasarian, Olvi L. Data Mining via Generalized Support Vector Machines. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada414231.

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Summers, D. A. A waterjet mining machine for use in room and pillar mining operations. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/7153631.

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Summers, D. A. A waterjet mining machine for use in room and pillar mining operations. [Final report]. Office of Scientific and Technical Information (OSTI), June 1990. http://dx.doi.org/10.2172/10182841.

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Russell, S., and S. Vaidya. Machine Learning and Data Mining for Comprehensive Test Ban Treaty Monitoring. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/967289.

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Huang, Hui-Min, John Albert Horst, and Richard Quintero. Task decomposition and algorithm development for real-time motion control of a continuous mining machine. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4596.

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Gates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), August 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.

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Background. Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verification. Methods. For 75 randomized trials published in 2017, we manually extracted and verified data for 21 unique data elements. We uploaded the randomized trials to ExaCT, an online machine learning and text mining tool, and quantified performance by evaluating the tool’s ability to identify the reporting of data elements (reported or not reported), and the relevance of the extracted sentences, fragments, and overall solutions. For each randomized trial, we measured the time to complete manual extraction and verification, and to review and amend the data extracted by ExaCT (simulating semi-automated data extraction). We summarized the relevance of the extractions for each data element using counts and proportions, and calculated the median and interquartile range (IQR) across data elements. We calculated the median (IQR) time for manual and semiautomated data extraction, and overall time savings. Results. The tool identified the reporting (reported or not reported) of data elements with median (IQR) 91 percent (75% to 99%) accuracy. Performance was perfect for four data elements: eligibility criteria, enrolment end date, control arm, and primary outcome(s). Among the top five sentences for each data element at least one sentence was relevant in a median (IQR) 88 percent (83% to 99%) of cases. Performance was perfect for four data elements: funding number, registration number, enrolment start date, and route of administration. Among a median (IQR) 90 percent (86% to 96%) of relevant sentences, pertinent fragments had been highlighted by the system; exact matches were unreliable (median (IQR) 52 percent [32% to 73%]). A median 48 percent of solutions were fully correct, but performance varied greatly across data elements (IQR 21% to 71%). Using ExaCT to assist the first reviewer resulted in a modest time savings compared with manual extraction by a single reviewer (17.9 vs. 21.6 hours total extraction time across 75 randomized trials). Conclusions. Using ExaCT to assist with data extraction resulted in modest gains in efficiency compared with manual extraction. The tool was reliable for identifying the reporting of most data elements. The tool’s ability to identify at least one relevant sentence and highlight pertinent fragments was generally good, but changes to sentence selection and/or highlighting were often required.

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