Numerical Analysis of Belt Conveyors for Maintenance Decision Support System
Numerical Analysis of Belt Conveyors for Maintenance Decision Support System |
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© 2022 by IJETT Journal | ||
Volume-70 Issue-3 |
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Year of Publication : 2022 | ||
Authors : Sambandham Thirumalai Selvam, Alok Kumar Mukhopadhyay |
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https://doi.org/10.14445/22315381/IJETT-V70I3P217 |
How to Cite?
Sambandham Thirumalai Selvam, Alok Kumar Mukhopadhyay, "Numerical Analysis of Belt Conveyors for Maintenance Decision Support System," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 151-161, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I3P217
Abstract
Maintaining healthy operational conditions of the belt conveyor system in a coal handling plant is a crucial requirement for all stakeholders. Unexpected failures of belt conveyors cause huge losses to the plant on production efficiency, safety and cost. It is essential to analyse the equipment conditions at an appropriate interval of time to find out the weak units that impact the plant’s operational efficiency and predict their failures in time so that such losses can be eliminated through effective maintenance practices. In this study, the reliability and availability values are estimated using numerical analysis through the stochastic model. Employing the Markov process by taking the rate of failures and rate of repairs as follows the exponential distribution, the belt conveyor system is mathematically modelled. This study findings assist the plant management in identifying the critical belt conveyors that affect the system`s reliability metrics and hence need focused maintenance strategies to improve their reliability and availability values. The findings will be of great importance to the plant’s maintenance decision support system in the design of appropriate maintenance policies of industrial systems. Furthermore, it provides deep knowledge to future researchers for studies on the reliability of complex industrial systems.
Keywords
Maintenance, Decision support, State transition diagram, Reliability, Belt conveyors.
Reference
[1] Blischke, W.R., Murthy, D.N.P., Case Studies in Reliability and Maintenance, Wiley, New York, (2003)
[2] Kuo, W., Lin, H., Xu, Z. and Zhang, W. Reliability Optimization with the Lagrange Multiplier and Branch and Bound Technique, IEEE Transactions On Reliability, 36(5) (1987) 624-630.
[3] Dhillon, B. S.; Rayapati, S. N. Reliability And Availability Analysis Of Transit Systems. Microelectronics Reliability. 1985. 25(6) (1985) 1073-1085.
[4] Rahimdel, M. J.; Ataei, M.; Khalokakaei, R.; Hosseini, S. H. Reliability-Based Maintenance Scheduling if Hydraulic System if Rotary Drilling Machines. International Journal if Mining Science And Technology. 23(5) (2013) 771-775.
[5] Simon, F.; Javad, B.; Abbas, B. Availability Analysis of the Main Conveyor in the Svea Coal Mine in Norway. International Journal of Mining Science and Technology. 24(5) (2014) 587-591.
[6] Li, M.; Yingqian, S. U. N.; Luo, C. Reliability Analysis of Belt Conveyor Based on Fault Data. In IOP Conference Series: Materials Science and Engineering. Doi:10.1088/1757-899X/692/1/012009, (2019).
[7] Kumamoto, H.; Tanaka, K.; Inoue, K. Efficient Evaluation of System Reliability By Monte Carlo Method. IEEE Transactions on Reliability. 26(5) (1977) 311-315.
[8] Khan, M. R.; Kabir, A. Z. Availability Simulation of an Ammonia Plant. Reliability Engineering & System Safety. 48(3) (1995) 217-227.
[9] Rajpal, P. S.; Shishodia, K. S.; Sekhon, G. S. An Artificial Neural Network for Modelling Reliability, Availability And Maintainability of a Repairable System. Reliability Engineering & System Safety. 91(7) (2006) 809-819.
[10] They, A. H.; Mesbahi, E.; Pu, Y. Reliability Analysis Of Structures using Neural Network Method. Probabilistic Engineering Mechanics. 21(1) (2006) 44-53.
[11] Kuo, Y.; Lin, K. P. Using A Neural Network And Decision Tree for Machine Reliability Prediction. The International Journal of Advanced Manufacturing Technology. 50(9) (2010) 1243-1251.
[12] Calabria, R.; Guida, M.; Pulcini, G. A Reliability-Growth Model in a Bayes-Decision Framework. IEEE Transactions on Reliability. 45(3) (1996) 505-510.
[13] Li, Y. F.; Mi, J.; Huang, H. Z.; Xiao, N. C.; Zhu, S. P. System Reliability Modelling and Assessment for Solar Array Drive Assembly Based on Bayesian Networks. Eksploatacja I Niezawodno??, 15 (2013) 117-122.
[14] Pan, J. N.; Kolarik, W. J.; Lambert, B. K. Mathematical Model to Predict the System Reliability Of Tooling for Automated Machining Systems. International Journal of Production Research, 24(3) (1986) 493-501.
[15] Hall, R. A.; Daneshmend, L. K. Reliability Modelling Of Surface Mining Equipment: Data Gathering And Analysis Methodologies. International Journal of Surface Mining, Reclamation and Environment,17(3) (2003) 139-155.
[16] Bingham, T. System Reliability Thorough Fault Tree Analysis. In ASQ World Conference on Quality and Improvement Proceedings. 59 (2005) 361-370.
[17] Shu, X.; Guo, Y.; Yang, H.; Wei, K. Reliability Study Of The Motor Controller in an Electric Vehicle by the Approach of Fault Tree Analysis. Engineering Failure Analysis. Https://Doi.Org/ 10.1016/ J.Engfailanal.2020.105165. (2021)
[18] Tang, Q.; Shu X.; Zhu G.; Wang J.; Yang H. Reliability Study of BEV Powertrain System and its Components—A Case Study. Process, 9(5) (2021) 762. www.Doi.Org/10.3390/Pr9050762.
[19] Knezevic, J.; Odoom, E. R. Reliability Modelling of Repairable Systems Using Petri Nets and Fuzzy Lambda–Tau Methodology. Reliability Engineering & System Safety, 73(1) (2001) 1-17.
[20] Barabady, J.; Kumar, U. Reliability Analysis af Mining Equipment: A Case Study of a Crushing Plant at Jajarm Bauxite Mine in Iran. Reliability Engineering & System Safety, 93(4) (2008) 647-653.
[21] Gharahasanlou, A.N.; Khalokakaie, R.; Ataie, Md.; Jafari, R.; Mokhberdoran, M.; Mokhtarie, A. Reliability Analysis if Conveyor Belt System if Crushing Department. Journal if Applied Environmental and Biological Sciences, 5 (7S) (2015) 349-357.
[22] Gorai, A. K.; Kumar, P.; Patel, A. K. Reliability Analysis Of The Main Conveyor System in the Underground Coal Mine to Determine the Maintenance Schedules. International Journal if Mining and Mineral Engineering, 8(3) (2017) 207-233.
[23] Ahmadi, S.; Moosazadeh, S.; Hajihassani, M.; Moomivand, H.; Rajaei, M. M. Reliability, Availability and Maintainability Analysis of the Conveyor System in Mechanized Tunnelling. Measurement, 145 (2019) 756-764.
[24] Fan, Q.; Fan, H. Reliability Analysis And Failure Prediction Of Construction Equipment With Time Series Models. Journal of Advanced Management Science, 3(3) (2015) 203-210.
[25] Kumar, D.; Singh, I. P.; Singh, J. Reliability Analysis of the Feeding System in the Paper Industry. Microelectronics Reliability, 28(2) (1988) 213-215.
[26] Khanduja, R.; Tewari, P. C.; Kumar, D. Steady-State Behaviour And Maintenance Planning of Bleaching System in a Paper Plant. Journal of Industrial Engineering, International, 7(12) (2011) 39-44.
[27] Kadian, S.; Garg, R. K.; Gautam, R. Reliability and Availability Analysis Of Uncaser System in a Brewery Plant. International Journal Res Mechanical Engineering Technology, 2(2) (2012) 7–11.
[28] Srinath, L S, Reliability Engineering, 4th Edition, East-West Press, Private Limited, New Delhi, (2003).