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Implementation of Diagnostic Technique to Solve Vibration Problems in Sugar Industry: Some Case Studies
(*) Corresponding author
DOI: https://doi.org/10.15866/ireme.v13i6.15471
Abstract
Predictive maintenance technique has been accepted worldwide for maintenance of rotating machines in process industries. Amongst a vast number of machine condition monitoring techniques, vibration monitoring and analysis is distinct and the most widely used method in detecting mechanical faults in common rotating machinery. Sugar industry is one of the important industries of many countries in which variety of rotating machines are linked together in order to carry out sugar production. Implementation of diagnostic technique through vibration monitoring and analysis can lead to effective predictive maintenance. This paper deals with a review of the state of the art of vibration condition monitoring and prognosis technique applied to the rotating machines in sugar industries. It also focuses on case studies of fault diagnosis and rectification of few rotating machines of this industry.
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References
Deloux E, Castenier B., Berengeer C., 2008, Maintenance policy for a deteriorating system evolving in a stressful environment- part 0, J. Risk Reliab., 222, pp. 613-622.
Jong-Ho Shin, Hong-Bae Jun, On condition based maintenance policy, Journal of Computational Design and Engineering, Volume 2, Issue 2, 2015, Pages 119-127, ISSN 2288-4300.
https://doi.org/10.1016/j.jcde.2014.12.006
Sedaghati Nasab H., Massoumian M., Karimi H., 2011, CM experience with boiler feed pump, World Pumps, January 2011.
https://doi.org/10.1016/s0262-1762(11)70035-9
Sarje S. H., Lathkar G. S., Basu S.K. 2012, CBM Policy for an Online Continuously Monitored Deteriorating System with Random Change Mode, Journal of TheInstitute of Engineers [India], Series C, 93, pp. 27-32.
https://doi.org/10.1007/s40032-011-0006-9
Biswas R.K., Majumdar M.C., Basu S.K. 2013, Vibration and Oil Analysis By Ferrography for Condition Monitoring, The Institute of Engineers [India] Ser. C, 94, pp. 267-274.
https://doi.org/10.1007/s40032-013-0079-8
Zhongyu Hunge, Zhiquian Yu, Zhixiong Li, Yuancheng Geng, A fault diagnosis method of rolling bearing through wear particle and vibration analysis, Applied Mechanics and Materials Vols. 26-28, pp 676-681.
https://doi.org/10.4028/www.scientific.net/amm.26-28.676
Peng Z., Kessissoglou N.J., Cox M., 2005, A study of the effect of contaminant particles in lubricants using wear debris and vibration condition monitoring techniques. Wear, Vol. 258, Pp. 1651-1662.
https://doi.org/10.1016/j.wear.2004.11.020
Peng Z., Kessissoglou N.J., 2003, An integrated approach to fault diagnosis of machinery using wear debris and vibration analysis”, Wear, Vo. 255, Pp. 1221-1231.
https://doi.org/10.1016/s0043-1648(03)00098-x
Gao. J., Zhang P., Liu B., 2007, An integrated fault diagnosis method of gear boxes using oil analysis and vibration analysis, in proceedings of 8th International conference on Electronic measurement and instruments, Xian, China, pp. 3371-3374.
https://doi.org/10.1109/icemi.2007.4350932
H.Yu, Q, Guo, J. Hu, et al., 2007, Hybrid PSO based wavelet neural networks for intelligent fault diagnosis, Springer LNCS, Vol. 4221, pp. 321-330.
Y. Yu, D. Yu and J. Cheng, 2006, A roller bearing fault diagnosis method based on EMD energy entropy and ANN, Journal of sound and vibration, Vol. 294, pp. 269-277.
https://doi.org/10.1016/j.jsv.2005.11.002
Aronen, R, Dierssen, G, 2004, Targeted maintenance in municipal water systems”, Pumps and systems expo, Baton Rouge, Louisiana, USA.
Jardine A, K.S., Lin, D. Banjevic, D., 2006, A review on machinery diagnostics and prognostics implementing condition based maintenance, Mechanical systems and signal processing, Vol. 20, pp. 1483-1510.
https://doi.org/10.1016/j.ymssp.2005.09.012
Craig M., Harvey T. J., Wood R.J.K., Masuda K., Kawabata M., Powrie H.E.G, 2009, Advanced condition monitoring of tapered roller bearings, Tribology International 42, pp. 1846–1856.
https://doi.org/10.1016/j.triboint.2009.04.033
Choy F.K., Zhou J, Braun M.J., Wang L., 2005, Vibration monitoring and damage quantification of faulty ball bearings, ASME Journal of Tribology, 127(4): pp. 776–83.
https://doi.org/10.1115/1.2033899
Mathew J, Alfredson RJ., 1984, The condition monitoring of rolling element bearings using vibration analysis. Journal of Vibration, Acoustics, Stress Reliability and Design; 106:447–53.
https://doi.org/10.1115/1.3269216
Hameed Z., Ahn S.H. , Cho Y.M., 2010, Practical aspects of a condition monitoring system for a wind turbine with emphasis on its design, system architecture, testing and installation, Renewable Energy 35, pp. 879–894.
https://doi.org/10.1016/j.renene.2009.10.031
Jacovides L.J., 1973, Analysis of a cycloconverter-induction motor drive system allowing for stator current discontinuities, IEEE Trans. Ind. Appl. IA-9 (2) pp. 206-215.
https://doi.org/10.1109/tia.1973.349954
Sorensen O., Suraland V., 1988, Using the right tools for the right job: condition based monitoring pay’s off, Profile 6 (1), pp. 12-16.
Bourdim, M., Bourdim, A., Kerrouz, S., Benamar, A., Statistical Approach of Bearing Degradation, (2016) International Review of Mechanical Engineering (IREME), 10 (7), pp. 496-500.
https://doi.org/10.15866/ireme.v10i7.9434
Vishnu K. V., Anoop B. K., Adarsh KS, 2015, Vibration analysis: A literature review, IOSR Journal of Electronics and Communication Engineering, Vol 10, Issue 5, pp 35-39.
Pahlevan, L., Rezaeepazhand, J., Semi-Active Cabin Suspension of Agricultural Vehicles Using ER Mounts, (2018) International Journal on Engineering Applications (IREA), 6 (6), pp. 196-201.
https://doi.org/10.15866/irea.v6i6.16997
Cheah, Y., Putra, A., Muhammad, N., Dullah, A., Jenal, R., Modeling Dynamics of a Building Using a Portal Frame Approach, (2017) International Review on Modelling and Simulations (IREMOS), 10 (4), pp. 289-295.
https://doi.org/10.15866/iremos.v10i4.10615
El Yousfi Alaoui, M., Jilbab, A., El Hani, S., FPGA Design and Implementation of an Optimized Adaptive Filter for Real Time Extraction of Vibration Signal Related to Bearing Defects, (2016) International Review on Modelling and Simulations (IREMOS), 9 (2), pp. 105-113.
https://doi.org/10.15866/iremos.v9i2.8009
Asadi Garmaroudi, M., Mosayebi, J., Design and Optimization of Engine Mount, (2017) International Journal on Energy Conversion (IRECON), 5 (4), pp. 112-121.
https://doi.org/10.15866/irecon.v5i4.13754
Vogiatzis, K., Squealing Noise in Sharp Curves in Athens Tram Network: a Synthesis of Mitigation Measures and Their Effectiveness, (2018) International Journal on Engineering Applications (IREA), 6 (5), pp. 163-168.
https://doi.org/10.15866/irea.v6i5.16630
Johnarry, N., Effective Vibration Length from Effective Buckling Length, (2016) International Review of Civil Engineering (IRECE), 7 (2), pp. 32-40.
https://doi.org/10.15866/irece.v7i2.8542
Hashemi, S., Roach, A., A Dynamic Finite Element for Coupled Extensional-Torsional Vibration of Uniform Composite Thin-Walled Beams, (2016) International Review of Civil Engineering (IRECE), 7 (4), pp. 114-124.
https://doi.org/10.15866/irece.v7i4.10758
Viswanathan, V., Jeevananthan, S., Ripple Reduction in BLDC Motor Based on Cascaded DC-DC Converter, (2016) International Review of Electrical Engineering (IREE), 11 (3), pp. 247-256.
https://doi.org/10.15866/iree.v11i3.8523
Sawitri, D., Heryanto, M., Suprijono, H., Purnomo, M., Kusumoputro, B., Vibration-Signature-Based Inter-Turn Short Circuit Identification in a Three-Phase Induction Motor Using Multiple Hidden Layer Back Propagation Neural Networks, (2018) International Review of Electrical Engineering (IREE), 13 (2), pp. 98-106.
https://doi.org/10.15866/iree.v13i2.13881
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