Viscosity Monitoring and Analysis for Rotating Machineries
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Lubricants used in machines degrade with time. This may be caused by load, contamination and operating environment. Proper monitoring and analysis of the state of the lubricant is required to keep the machine in good condition and to minimize the cost of maintenance. This research is concerned with the application of lubrication standards to ensure proper operation of rotating equipment. The methods outlined include monitoring, analysis and comparison with lubricant performance standards. The method when rightly applied can signal wear, level of contamination and chemistry of the lubricant. Viscosity monitoring and analysis is useful to determine the state of the lubricant and hence the health of the machine, which is useful in taking maintenance decisions. With proper monitoring and analysis of the lubricant in rotating equipment, safety is ensured in addition to reduction of unforeseen failures and the cost of maintenance of the machines.
Akpan, W.A; A.O. Odukwe and Okorie B.A. Prediction and Scheduling of Maintenance by Condition Monitoring. American Journal of Engineering Research (AJER) Vol. 6, Issuen8, pp 65-69, 2017
Christer, A.H. and Wang, W. (1995): “A Simple Condition Monitoring Model for a Direct Monitoring Process’’ European Journal of Operational Research,82(2), pp.258-269.
Tandon, N.;Yawada,G.S. and Ramakrushna, K.M(2007): “ A Comparative of Some Condition Monitoring Techniques for the Detection of Defect in Induction Motor Ball Bearings’ European Journal of Operational Research Vol. 82, Issue 2, pp. 258-269.
Banga, T. R; Agwai, N. K. and Sharma, S.C.H. (1992) Industrial Engineering and Management Sciences. 7th Ed. Kharma Publishers, Delhi, pp. 662.
Ugechi, L. U.; Ogbonnaya, E. A.; Lilly, M. T.; Ogaji.S.T. and Probert, S. O. (2009): Condition –Based Diagnostic Approach for Predicting the Maintenance requirements of Machinery [Online] Available: http/www.scrip.org/journal/eng. (July 14, 2015).
ISO 2372 (1086) Severity Chart for Vibration [Online] Available: http://www.google.com.ngsearc?q=Iso+vs1086 (July 14, 2015).
Duffuaa, S. O.; Raouf, A. and Campbell, J. D. (1999):Planning and Control of Maintenance Systems: Modeling and Analysis, John Wiley and Sons, Canada, 369 pages.
Ying, T.F.; Chen, C.M.; Liao, C.P.; Wu, M.D. and Huang, D.R.(1996): An efficient Design to reduce the Flux Leakage of Spindle Motor. Journal of Applied Physics 79.
Tsai, W.B. and Chanh, T.Y.(1999): Analysis of Flux Leakage ina Brushless Permanenr Magnet Motor with Embedded Magnets. IEEE Transactions 35(1) pp. 543-547.
Al-Najjar, B. (1991): “On The Selection of The Condition Based Maintenance for Mechanical Systems”, in Holmberg, K and Folkerson, A. (Eds.) Operational Reliability and System Maintenance, Elsevier Science, pp. 153-173.
Sifonite, J.(2017):A Systemstic Process of Data Collection – Condition Monitoring A Closer Look[Online] Available:http//conxciouseReliability.comcondition monitoring (January 11, 2018).
Zhou, Y. (2011): Latent degradation indicators estimation and prediction: A Monte Carlo Approach Mechanical Systems and Signal Processing.
Wang, W. (2008): Condition-Based Maintenance Modeling-in Complex System Maintenance Handbook Springer pp 111-132 [Online] Available :UR/;http:/usir.salford.ac.uk/id/eprint/2547 (July 26, 2015).
W. A. Akpan, A. O. Odukwe and O.I. Ani ‘’ Combinatorial optimization in Condition Based Maintenance System’’. International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Volume 4, issue 3 , March 2019, pp 16-23