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IJSTR >> Volume 6 - Issue 9, September 2017 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Condition Based Maintenance In Nigerian Electric Power Industry

[Full Text]

 

AUTHOR(S)

Akpan, W. A , Odukwe, A.O. , Okorie, B. A.

 

KEYWORDS

Afam iv power station, CBM, condition monitoring, inspection,

 

ABSTRACT

This study presents a methodology for application of condition based maintenance (CBM) in Nigerian electric power industry. The inspection cost, condition monitoring instruments cost and anticipated failure cost at Afam iv electric power station were investigated using a proposed model. A matrix for decision making that minimizes the total expected cost in the system was determined using combinatorial optimization. This method is highly recommended for CBM management of the power plant.

 

REFERENCES

[1]. M. Bengtsson (2004) Condition Based Maintenance in Technical Systems. (Online serial) Available:http://www.idp.mdh.se/forskninj/amneri/productprocess/projetk/cbm/index - asp? prpb 106 [June 16, 2013].

[2]. M.Ben-Daya and S. Duffuaa (1997) “Co-ordination of inspections for a group of machines’’ Journal of Quality in Maintenance Engineering, Vol3. Iss. 3 pp 199-208

[3]. K.T Huynh,;, A Barros;, C Berenguer; I.T. Castro, (2013) A periodic inspection and replacement Policy foe systems subject to competing failure mode due to degradation and traumatic events: Pre-print submitted to Reliability Engineering and Safety; Available [Online] https://hal.archines-ouvertes.fr/hal-oo790728

[4]. W. Li, and, H. Pham (2005) “An Inspection-Maintenance Model for Systems with Multiple Competing Processes” IEEE Transaction on Reliability, Vol. 54, No. 2, pp. 328-337.

[5]. G. Cai, , X Chen., , B Li., , B Chen and Z. He, (2012) Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariance Model to Condition Monitoring Information. (Online) Available: www.mdpi.com/journal/sensors [June 5, 2013].
[6]. H. Saranga,, and, J. Knezevic, (2001) “Reliability Analysis Using Multiple Relevant Condition Parameters” Journal of Quality in Maintenance Engineering. Vol. 6, No.3, pp.165-175.

[7]. M. J. Kallen and, J. M Nootwijk.(2006) “Optimal Periodic Inspection of Deterioration Process with Sequential Condition State”. International Journal of Pressure Vessels and Piping. Vol. 83. No. 4. pp. 249-255.

[8]. P.A. Ozor, (2014) Artificial Neural Network Based Maintenance System For Industries A Ph.D Thesis, Mechanical Engineering Department, University of Nigeria Nsukka UNN,

[9]. D. Chen and, K. K Trieved. (2005) “Optimization for Condition-Based Maintenance with Semi-Markov Decision Process”. Reliability Engineering System and Safety. Vol. 90, No. 1, pp. 25-29.