Applying Precision into Proactive Maintenance in Nigeria Electric Power Industry
Downloads
Power station plants and equipments are required to run for well beyond their intended lifetime. Opening up machines for inspections is expensive and owners need to consider all relevant information in making the decision. Problems in power station machine which reduce machine efficiency and reliability such as shaft misalignment, deposits on blades can be detected and monitoring using monitoring by performance analysis. This paper outlines some of the methods using precision techniques, which have contributed to proactive maintenance in the world - class- precision maintenance. Some of the tools used in this case are outlined and recommends that proper use of these tools in the Nigerian electric power stations could improve maintenance efforts and increase reliability, availability and customers’ satisfactions. Hence this paper can be legitimised by training, procedures and changes in human thinking and behaviours and largely getting to the roots of the errors. Root cause analysis is the tool designed to follow mechanism back to physical roots and probably eliminate it by training, procedures and changes which will form the basis for precision based reliability and knowing that predictive technology is the key to breaking error chains
[1]Robertson, J.C. Putting Precision into Proactive Maintenance (2005)File ://: Documents 20 sellings pp 1-8
[2] Oxford Advanced Learner’s Dictionary 10th Edition (2020). Great Clarendon, Oxford ok2, 60p, United Kingdom
[3] Strategic Dimensions of Maintenance Management. Journal of Quality Maintenance Engineering, Vol.8 No.1 pp 7-39
[4] Tsang H.C. Condition-based Maintenance: tools and decision making. Journal of Quality in Maintenance Engineering, Vol 1, No. 3 pp3-7
[5]Moubray, J. (1997) Reliability Centered Maintenance. New York: Industrial Press. Inc.
[6] Moubray, J. (2002) An Introduction to Predictive Maintenance. New York: Industrial Press.
[7] Mitchell, J.S (2003): Five to ten year vision for CMB, ATP Fall Meeting –Condition Based Maintenance Workshop, USA, Atlanta, GA,1998 (Power point Presentation) http://www..atp.nst.gov/files/3
[8] Bengtsson, M. (2007) On Condition Based Maintenance and its Implementation in Industrial Settings. Ph.D Thesis, Malardalen University, Sweden.
[9]Ugechi, L. U. ;Ogbonnaya, E. A.; Lilly, M. T.; Ogaji,S.SO.ST; Probert, S. O. (2009) Condition –Based Diagnostic Approach for Predicting the Maintenance requirements of Machinery [Online] Available: http/www.scrip.org/journal/eng.
a. (July, 1 2023)
[10] ISO 2372(1086) Severity Chart for Vibration [Online] Available: http://www.google.om.ngsearch?q=Iso+2372+vs1086 (July,14 2015)
[11] Banga, T. R., Agwai, N. K. and Sharma, S.C.h (1992) Industrial Engineering and Management Sciences. 7th Ed. Kharma Publishers, Delhi, p. 662.
[12] Duffuaa, S. O. and Al-Sultan, K. S. (1992) “Mathematical Programming Approaches for the Management of Maintenance Planning and Scheduling”. Journal of Quality in Maintenance Engineering. Vol. 1, No. 3, pp. 163-176.
[13] 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.
