Reliability analysis of tricone roller bits with tungsten carbide insert in blasthole drilling

References

• U. Kumar and K. Bengt, Reliability analysis of hydraulic systems of LHD machines using the power law process model, Reliability Eng. Syst. Saf. 35 (3) (1992), pp. 217–224. doi:10.1016/0951-8320(92)90080-5.
   Web of Science ®Google Scholar
• A. Barabadi, J. Barabady, and T. Markeset. Application of accelerated failure model for the oil and gas industry in Arctic region. Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on. IEEE, 2010, Macao, China. doi:10.1109/IEEM.2010.5674289.
   Google Scholar
• D. Kayrbekova, A. Barabadi, and T. Markeset, Maintenance cost evaluation of a system to be used in Arctic conditions: A case study, J. Qual. Maintenance Eng. 17 (4) (2011), pp. 320–336. doi:10.1108/13552511111180159.
   Google Scholar
• S.M. Rezvanizaniani, J. Barabady, M. Valibeigloo, M. Asghari, and U.Kumar, Reliability analysis of the rolling stock industry: A case study, International Journal of Performability Engineering. 5(2) (2009), pp. 167–175.
   Google Scholar
• R.J. Bala, R.M. Govinda, and C.S.N. Murthy, Mathematical modelling of engineering problems, Journal Homepage: Http://Iieta. org/Journals/MMEP 5 (2018), pp. 116–122.
   Google Scholar
• B.M. Balaba, Y. Ibrahim, and I. Gunawan. Utilisation of data mining in mining industry: Improvement of the shearer loader productivity in underground mines. 10th IEEE International Conference on Industrial Informatics (INDIN), Beijing, China, 2012. doi:10.1109/INDIN.2012.6301364
   Google Scholar
• J. Barabady and U. Kumar, Reliability analysis of mining equipment: A case study of a crushing plant at jajarm bauxite mine in iran, Reliability Engineering & System Safety 93 (4) (2008), pp. 647–653. doi:10.1016/j.ress.2007.10.006.
   Web of Science ®Google Scholar
• N. Demirel and O. Gölbaşı, Preventive replacement decisions for dragline components using reliability analysis, Minerals 6 (2) (2016), pp. 51. doi:10.3390/min6020051.
   Web of Science ®Google Scholar
• N. Vayenas and W. Xiangxi, Maintenance and reliability analysis of a fleet of load-haul-dump vehicles in an underground hard rock mine, Int. J. Mining, Reclamation Environ. 23 (3) (2009), pp. 227–238. doi:10.1080/17480930902916494.
   Web of Science ®Google Scholar
• S. Dindarloo, Reliability forecasting of a load‐haul‐dump machine: A comparative study of ARIMA and neural networks, Qual. Reliability Eng. Int. 32 (4) (2016), pp. 1545–1552. doi:10.1002/qre.v32.4.
   Web of Science ®Google Scholar
• A. Gustafson, H. Schunnesson, and U. Kumar, Reliability analysis and comparison between automatic and manual load haul dump machines, Qual. Reliability Eng. Int. 31 (3) (2015), pp. 523–531. doi:10.1002/qre.v31.3.
   Web of Science ®Google Scholar
• O. Gölbaşı and N. Demirel, A cost-effective simulation algorithm for inspection interval optimization: An application to mining equipment, Computers Ind. Eng. 113 (2017), pp. 525–540. doi:10.1016/j.cie.2017.09.002.
   Web of Science ®Google Scholar
• R.A. Hall and L.K. Daneshmend, Reliability modelling of surface mining equipment: Data gathering and analysis methodologies, International Journal of Surface Mining, Reclamation and Environment 17 (3) (2003), pp. 139–155. doi:10.1076/ijsm.17.3.139.14773.
   Google Scholar
• S. Hadi Hoseinie, M. Ataei, R. Khalokakaie, B. Ghodrati, and U.Kumar, Reliability analysis of drum shearer machine at mechanized longwall mines, Journal of Quality in Maintenance Engineering 18 (1) (2012), pp. 98–119. doi:10.1108/13552511211226210.
   Google Scholar
• S.K. Roy, M.M. Bhattacharyya, and V.N.A. Naikan, Maintainability and reliability analysis of a fleet of shovels, Mining Technol. 110 (3) (2001), pp. 163–171. doi:10.1179/mnt.2001.110.3.163.
   Google Scholar
• P.A. Pandey, K. Mukhopadhyay, and S. Chattopadhyaya, Reliability analysis and failure rate evaluation for critical subsystems of the dragline, J. Braz. Soc. Mechanical Sci. Eng. 40 (2) (2018), pp. 50. doi:10.1007/s40430-018-1016-9.
   Web of Science ®Google Scholar
• B. Samanta, B. Sarkar, and S.K. Mukherjee, Reliability assessment of hydraulic shovel system using fault trees, Mining Technol. 111 (2) (2002), pp. 129–135. doi:10.1179/mnt.2002.111.2.129.
   Google Scholar
• H. Wu and W.Q. Meeker, Early detection of reliability problems using information from warranty databases, Technometrics 44 (2) (2002), pp. 120–133. doi:10.1198/004017002317375073.
   Web of Science ®Google Scholar
• R.G. Batson and K.D. McGough, A new direction in quality engineering: Supply chain quality modelling, Int. J. Production Res. 45 (23) (2007), pp. 5455–5464. doi:10.1080/00207540701325140.
   Web of Science ®Google Scholar
• A. Gupta, S. Chattopadhyaya, and S. Hloch, Critical investigation of wear behaviour of WC drill bit buttons, Rock Mechanics and Rock Engineering 46 (1) (2013), pp. 169–177. doi:10.1007/s00603-012-0255-9.
   Web of Science ®Google Scholar
• L.E. Chiang and D.A. Elias, A 3D FEM methodology for simulating the impact in rock-drilling hammers, Int. J. Rock Mechanics Mining Sci. 45 (5) (2008), pp. 701–711. doi:10.1016/j.ijrmms.2007.08.001.
   Web of Science ®Google Scholar
• Z.-Y. Liu, G.L. Zhai, C.F. Dong, X.G. Li, and Q.K. Meng, Failure analysis on cracking of 40CrNiMo drill [J], Phys. Examination Test. 5 (2007), pp. 017.
   Google Scholar
• C. He, L. Han, X.B. Chen, and H.Y. Zhu, Study on the failure mechanism of air hammer bit, Drill Prod. Technol. 33 (2010), pp. 134–137.
   Google Scholar
• L. Shusheng, W. Zhenquan, and M. Dekun, Kinematical analysis and failure mechanism of PDC bit cutter teeth, China Petroleum Machinery 2 (1997), pp. 17–19.
   Google Scholar
• ReliaSoft Corporation, Life Data Analysis Reference, Tools to Empower Reliab Prof (2015), pp. 103–154.
   Google Scholar
• R Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, (2017). URL https://www.R-project.org/.
   Google Scholar
• W.Q. Meeker and L.A. Escobar, Statistical Methods for Reliability Data, John Wiley & Sons, New York, NY, 2014.
   Google Scholar
• Chung, Chien-Ping, and Angus Jeang, An approach for product life functionality under component deterioration process, J. Mechanical Sci. Technol. 23(1) (2009), pp. 237–245. doi:10.1007/s12206-008-0922-7.
   Web of Science ®Google Scholar
• H. Hirose, Maximum likelihood estimation in the 3-parameter Weibull distribution. A look through the generalized extreme-value distribution, IEEE Transactions on Dielectrics and Electrical Insulation 3 (1) (1996), pp. 43–55. doi:10.1109/94.485513.
   Web of Science ®Google Scholar
• Z. Wang, J. Yang, G. Wang, and G. Zhang, Application of three-parameter Weibull mixture model for reliability assessment of NC machine tools: A case study, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225.(11) (2011):2718–2726.
   Google Scholar
• G. Yang, Life Cycle Reliability Engineering, John Wiley & Sons, Hoboken, New Jersey, 2007.
   Google Scholar
• N. Vagenas, V. Kazakidis, M. Scoble, and S. Espley, Applying a maintenance methodology for excavation reliability, Int. J. Surface Mining, Reclamation Environ. 17 (1) (2003), pp. 4–19. doi:10.1076/ijsm.17.1.4.8626.
   Google Scholar
• J. Pulido, J. Klinger, and W. Hill. Life data analysis with applications to aircraft modeling. Reliability and Maintainability Symposium (RAMS), 2017 Annual. IEEE, Orlando, FL, 2017. doi:10.1109/RAMS.2015.7105142
   Google Scholar
• J. Pulido. Life data analysis using the competing failure modes technique. Reliability and Maintainability Symposium (RAMS), 2015 Annual. IEEE, Palm Harbor, FL, 2015. doi:10.1109/RAMS.2015.7105142
   Google Scholar
• T. Zhang and R. Dwight, Choosing an optimal model for failure data analysis by graphical approach, Reliability Eng. Syst. Saf. 115 (2013), pp. 111–123. doi:10.1016/j.ress.2013.02.004.
   Web of Science ®Google Scholar