Претрага
836 items
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A Fuzzy Expert Model for Availability Evaluation
Each technical system within itself carries the great potential danger of possible occurrence of failure and damages. Mining machines are characteristic by great investment values, costs of unplanned shutdowns, complex working conditions, and environment and workers hazards. Systematic monitoring of the mining machinery is of great importance for the management of the mining companies. Availability is the overall concept of quality of service. Includes information regard to operating state, an idle state, a standby state and shut down. The ...... in d ic a to r Questionnaire: Bulldozer Liebherr – Drmno Open Pit Mine Grade: Excellent Good Average Adequate Poor The degree of affiliation, % 1 R 40 60 M 100 S 100 2 R 20 80 M 100 S 50 50 3 R 100 M 100 S 100 4 R 80 20 M 80 20 ...
... terms and Caterpillar as "good" in terms of R and S and "excellent" in term of M. This can be written in the form: R(A1-Lib.) = 0.4/good,0.6/avr; M(A1-Lib.) = 1/avr; S(A1- Lib.) = 1/adeq; R(A1-Drs.) = 1/avr; M(A1-Drs.) = 1/avr; S(A1-Drs.) = 1/avr; R(A1-Cat.) = 1/good; M(A1-Cat.) = 1/exel; S(A1-Cat ...
... basin are: R(A2-Lib.) = 0,2/good,0.8/avr; M(A2-Lib.) = 1/good; S(A2- Lib.) = 0,5/aver, 0.5/adeq; R(A2-Drs.) = 0,2/good,0.8/avr; M(A2-Drs.) = 1/good; S(A2- Drs.) = 0,5/aver, 0.5/adeq; R(A2-Cat.) = 0.8/exc,0.2/good; M(A2-Cat.) = 0.6/good,0.4/avr; S(A2-Cat.) = 0.5/good,0.5/avr; R(A3-Lib.) = 1/good; ...Dejan Ivezić, Miloš Tanasijević, Predrag Jovančić, Radiša Đurić. "A Fuzzy Expert Model for Availability Evaluation" in Proceedings of the 2019 20th International Carpathian Control Conference (ICCC), AGH University of Science and Technology, Kraków - Wieliczka, Poland (2019)
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Threshold-induced correlations in the Random Field Ising Model
... T T T T T r 1 1 10? 10! 10° 10! 107 10! _— 10! Wp -)) 4s V0 Ty VC" Cc <7 L522, R=2.375, Vi, 25 d Ss L522, R=2.375, Viyy=25 > 1074 © = 1-1024, R=2.30, Vi,=50 = © = 1-1024, R=2.30, V,,—50 a A 12046, R=2.25, Vj,=102 a A 12046, R=2.25, Vy.=102 om ¥ L=4087, R=2.22, Vy,=208 = 1074 V L-4087, R=2.22, Vy,=208 ...
... various disorders R (see legend), collapse onto a same curve when presented against V;,r, where the reduced disorder r=(R— R,)/R measures a distance to the critical disorder R, of the model. Inset shows how vy} (i.e. the exponent 7 taken for V,, = 0) depends on the reduced disorder r. When a threshold ...
... com/scientificreports/ ais yp m 1-522, R=2.375, V,=25 | ph <=) voy m £822, R=2.375, Vy, =25 > "Wy © 1=1024, R=2.30, Vy,=50 a vy ine © £=1024, R=2.30, Vy.=50 a vn 4 1=2046, R=2.25, V,,=102 i904 vy 4 1=2046, R=2.25, V,,=102 = 10°4 L=4087, R=2.22, V.=208 = L=4087, R=2.22, V.=208 ~ ~ a # 1024 S 1074 & _ & ...Sanja Janićević, Dragutin Jovković, Lasse Laurson, Đorđe Spasojević. "Threshold-induced correlations in the Random Field Ising Model" in Scientific Reports, Springer Science and Business Media LLC (2018). https://doi.org/10.1038/s41598-018-20759-6
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Properties of fly ash and slag from the power plants
This paper describes the physical, chemical and mineral properties of ash and slag, which were taken from thermal power plants Nikola Tesla A, Nikola Tesla B, Kostolac A and Kostolac B. The knowledge of the mineralogical material composition is important because the type of minerals directly determines the properties of the fly ash and slag and their possible application. Laboratory tests showed that ash and slag samples consist of the following minerals: amorphous materials, quartz, feldspar, mullite, melilite, cristobalite, ...fly ash, slag, physical composition, chemical composition, mineral composition, X-ray diffraction method... 28) R(0.37) CaO(0.84) SO3(0.92) SiO2(0.89) Al2O3(0.93) R(0.82) Na2O CaO(0.47) He(0.34) pH(0.43) f(0.49) CaO(0.82) He(0.38) pH(0.99) f(0.45) K2O Q(0.69) SiO2(0.68) CaO(0.49) He(0.90) R(0.77) w(0.16) <2.9(0.47) AM(0.57) Q(0.48) SiO2(0.82) CaO(0.84) He(0.53) R(0.99) w(0.99) <2.9(0.68) AM(0.98) R He(0 ...
... 24) Kr(0.70) He(0.41) Ml(0.58) R(0.40) Na2O(0.99) Fe2O3(0.99) Kr(0.99) He(0.25) Ml(0.25) R(0.97) w CaO(0.65) K2O(0.33) Al2O3(0.80) SiO2(0.44) He(0.08) R(0.74) CaO(0.97) K2O(0.78) Al2O3(0.36) SiO2(0.65) He(0.34) R(0.96) <2.9 w(0.39) CaO(0.55) K2O(0.63) Al2O3(0.43) M(0.75) R(0.58) w(0.63) CaO(0.47) K2O(0 ...
... the chemical composition the module R is deter- mined, and is shown in Fig. 5. The R module is used for deter- mination of ash and slag classification according to the chem- ical composition. The formula for determining the R module is: 2 3 2 3 ( ) ( ) SiO AlO R CaO MgO Fe O + = + + (1) According ...Miloš Šešlija, Aleksandra Rosić, Nebojša Radović, Milinko Vasić, Mitar Đogo, Milovan Jotić. "Properties of fly ash and slag from the power plants" in Geologia Croatica, Zagreb : Croatian Geological Survey (2016). https://doi.org/10.4154/gc.2016.26
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Contribution to the geotechnical classification of municipal waste landfills in Serbia
Management, Monitoring, Policy and Law, Nature and Landscape Conservation, Geochemistry and Petrology, Waste Management and Disposal,Geotechnical Engineering and Engineering Geology,Water Science and Technology,Environmental Chemistry,Environmental EngineeringDragoslav Rakić, Irena Basarić, Laslo Čaki, Slobodan Ćorić. "Contribution to the geotechnical classification of municipal waste landfills in Serbia" in Environmental Geotechnics, Thomas Telford Ltd. (2018). https://doi.org/10.1680/jenge.18.00028
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Korelacija magnetnog susceptibiliteta i sadržaja metala u flotacijskom jalovištu
Procena metala u rudama, jalovištu i zemljištu se tradicionalno određuje hemijskim metodama kao što su Rengen fluorescentna analiza (XRF), Instrumentalna neutronska aktivaciona analiza (INAA) i Masena spektrometrija induktivno spregnute plazme (ICP-MS). Neke od pomenutih metoda su veoma zahtevne i skupe, te se nametnula potreba ka traženju jeftinijeg alata za brzu procenu prisustva pojedinih metala. Tokom poslednjih nekoliko decenija, mnoge studije su pokazale da su magnetna merenja dovoljno osetljiva da detektuju magnetni signal feromagnetnih materijala, a samim tim i metala ...Filip Abramović, Vesna Cvetkov, Aco Ilić, Dragana Životić. "Korelacija magnetnog susceptibiliteta i sadržaja metala u flotacijskom jalovištu" in 18. Kongres geologa Srbije "Geologija rešava probleme", Divčibare, 01-04 jun 2022., Srpsko geološko društvo (2022)
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Reprint of Petrological and organic geochemical properties of lignite from the Kolubara and Kostolac basins, Serbia: implication on grindability index
Životić Dragana, Bechtel A., Sachsenhofer R., Gratzer R., Radić D., Obradović M., Stojanović Ksenija (2015)Životić Dragana, Bechtel A., Sachsenhofer R., Gratzer R., Radić D., Obradović M., Stojanović Ksenija. "Reprint of Petrological and organic geochemical properties of lignite from the Kolubara and Kostolac basins, Serbia: implication on grindability index" in International Journal of Coal Geology 157, Amsterdam, Netherlands:Elsevier BV (2015): 165-183. https://doi.org/10.1016/j.coal.2014.07.004
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A hydrogeological model of the open-cast mine Tamnava - West Field (Kolubara Coal Basin, Serbia)
... Coal Basin, Serbia) Jelena Ratković, Dušan Polomčić, Dragoljub Bajić, Bojan Hajdin Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] A hydrogeological model of the open-cast mine Tamnava - West Field (Kolubara Coal Basin, Serbia) | Jelena Ratković, Dušan Polomčić ...
... environment of the Maczki-Bór sand pit due to the fact of planned closure of mining operations (NE part of Upper Silesian Coal Basin - Poland). In: RÜDE R. T., FREUND A. and WOLKERSDORFER, CH. (eds.) Proceedings of the 11th International Mine Water Association Congress: Mine Water - Managing the Challenges ...Jelena Ratković, Dušan Polomčić, Dragoljub Bajić, Bojan Hajdin. "A hydrogeological model of the open-cast mine Tamnava - West Field (Kolubara Coal Basin, Serbia)" in Underground Mining Engineering no. 29, Belgrade : University of Belgrade - Faculty of mining and geology (2016): 43-54
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Preliminary regional landslide susceptibility assessment using limited data
Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska (2019)In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented. It is called arbitrary polynomial method and takes into account 5 landslide conditioning parameters: lithology, slope inclination, average annual rainfall, land use and maximum expected seismic intensity. According to the method, in the first stage, a gradation is performed for each of the carefully selected conditioning parameters by assigning so called rating points to the grid cells on which the ...... 0 = LT-R*0.3 + SI-R*0.175 + AP-R*0.175 + EI-R*0.175 + LU-R*0.175 (2) WLT-TLSR500 = LT-R*0.3 + SI-R*0.175 + AP-R*0.175 + EI-R*0.175 + LU-R*0.175 (3) WSI-TLSR100 = LT-R*0.175 + SI-R*0.3 + AP-R*0.175 + EI-R*0.175 + LU-R*0.175 (4) WSI-TLSR500 = LT-R*0.175 + SI-R*0.3 + AP-R*0.175 + EI-R*0.175 + ...
... + LU-R*0.175 (5) WAP-TLSR100 = LT-R*0.175 + SI-R*0.175 + AP-R*0.3 + EI-R*0.175 + LU-R*0.175 (6) WAP-TLSR500 = LT-R*0.175 + SI-R*0.175 + AP-R*0.3 + EI-R*0.175 + LU-R*0.175 (7) WLU-TLSR100 = LT-R*0.175 + SI-R*0.175 + AP-R*0.175 + EI-R*0.175 + LU-R*0.3 (8) WLU-TLSR500 = LT-R*0.175 + SI-R*0.175 ...
... TLSR100-500 = LT-R + SI-R + AP-R + EI-R + LU-R (1) Where: TLSR – total landslide susceptibility rating (for return period of maximum expected seismic (earthquake) intensity for 100 and/or 500 years) LT-R – value of rating for lithological type SI-R – value of rating for slope inclination AP-R – value of ...Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska. "Preliminary regional landslide susceptibility assessment using limited data" in Geologica Croatica , Croatian Geological Society (2019). https://doi.org/10.4154/gc.2019.03
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Effects of external noise on threshold-induced correlations in ferromagnetic systems
Dragutin Jovković, Sanja Janićević, Svetislav Mijatović, Lasse Laurson, Đorđe Spasojević. "Effects of external noise on threshold-induced correlations in ferromagnetic systems" in Physical Review E, American Physical Society (APS) (2021). https://doi.org/10.1103/PhysRevE.103.062114
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Sedimentološke karakteristike neogenih jezerskih basena na primeru Pranjanskog basena
Jelena Đuđević (1992)Jelena Đuđević. Sedimentološke karakteristike neogenih jezerskih basena na primeru Pranjanskog basena, Beograd:Rudarsko-geološki fakultet, 1992
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Istraživanje parametara smicanja po diskontinuitetu za potrebe projektovanja površinskog kopa Majdanpek
Jelena Majstorović (2002)Jelena Majstorović. Istraživanje parametara smicanja po diskontinuitetu za potrebe projektovanja površinskog kopa Majdanpek, Beograd:Rudarsko-geološki fakultet, 2002
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Palinomorfe permsko-trijaskih sedimenata Stare planine(Istočna Srbija)
Jelena Milivojević (2001)Jelena Milivojević. Palinomorfe permsko-trijaskih sedimenata Stare planine(Istočna Srbija), Beograd:Rudarsko-geološki fakultet, 2001
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Sinteza i strukturna karakterizacija nanoprahova opšte formule Ca1-xRExMnO3 (RE=Y| La)
Jelena Zagorac (2011)Jelena Zagorac. Sinteza i strukturna karakterizacija nanoprahova opšte formule Ca1-xRExMnO3 (RE=Y| La), Beograd:Rudarsko-geološki fakultet, 2011
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Upravljanje projektima u hidrogeologiji na primeru proširenja izvorišta Pančevo
Jelena Pantelić (2012)Jelena Pantelić. Upravljanje projektima u hidrogeologiji na primeru proširenja izvorišta Pančevo, Beograd:Rudarsko-geološki fakultet, 2012
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Komparativna analiza stabilnosti kosina i njihova sanacija na primjeru površinskog kopa uglja Bogutovo selo" - Ugljevik| RS"
Jelena Trivan (2013)Jelena Trivan. Komparativna analiza stabilnosti kosina i njihova sanacija na primjeru površinskog kopa uglja Bogutovo selo" - Ugljevik| RS", Beograd:Rudarsko-geološki fakultet, 2013
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Sedimentološke karakteristike neogenih jezerskih basena| na primeru pranjanskog basena
Jelena ĐURĐEVIĆ (1992)Jelena ĐURĐEVIĆ. Sedimentološke karakteristike neogenih jezerskih basena| na primeru pranjanskog basena, Beograd:Rudarsko-geološki fakultet, 1992
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Sedimentno petrološka ispitivanja flišnih sedimenata Šumadije
Jelena Obradović (1964)Jelena Obradović. Sedimentno petrološka ispitivanja flišnih sedimenata Šumadije, Beograd:Rudarsko Geološki Fakultet, 1964
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Tercijarne ribe Srbije
Jelena Anđelković (1970)Jelena Anđelković. Tercijarne ribe Srbije, Beograd:Rudarsko Geološki Fakultet, 1970
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Biostratigrafske i paleoekološke karakteristike palinomorfi iz tercijarnih sedimenata banatske depresije (panonski basen)
Jelena Milivojević (2010)Jelena Milivojević. Biostratigrafske i paleoekološke karakteristike palinomorfi iz tercijarnih sedimenata banatske depresije (panonski basen), Beograd:Rudarsko Geološki Fakultet, 2010
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Хазард од клизишта у Србији у 21. веку
Biljana Abolmasov (2019)... ����› �� ›������ ������ ������ �� �� ›�� �� ������� �������: R = H x V(E R ) (1) ��� �: R � �›���� ����›, H � ������, V � �������� � � � R � �������� � ���- ������ � ����›�. ������ �� ›������� (Landslide Hazard) ���� ����� ��›������ �������- ���� ...
... DISASTERS Accepted at the 4 � meeting of the Department of Mathematics, Physics and Geosciences on 24 May 2019 E d i t o r VLADICA CVETKOVI� Corresponding Member of SASA B E L G R A D E 2 0 1 9 ������ ����� ��� ����� � � ������� ������ ��������� ����� 5 ��������� � ������ � 21. ���� � ����� ...
... ������� ����›� ���� � ����������� �� ��›� � �������� � ����›� � ����� ›� ���� ����� ��������� ����› (R � ). 21. > 69 > 7 v v [8], [9], [10], [11], [12], [13], > _ > > 1 > [8] > > > ») (1)R = H > >», A , Vv. - > > (Landslifie Hazard > - > > >, > i P(A x PINx S H (2) > > >. 1 A, N e > Ss >» > (Landslide ...Biljana Abolmasov. "Хазард од клизишта у Србији у 21. веку" in Геохазард у Србији у 21. веку – знање је најбољи бедем против стихије, Српска академија наука и уметности (2019)