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Remaining lifetime Evaluation for Crankshaft Main Bearings
ISSN: 0148-7191, e-ISSN: 2688-3627
Published June 23, 2008 by SAE International in United States
Annotation ability available
All automotive fleets' ownerships want to increase their fleets' availability; therefore, they resort to consider the conventional maintenance policy. Despite of, this policy increases fleets availability but the cost will be high. This is due to replace the parts before the end of their lifetime. On the other hand, this policy is based on time where it is not cost-effective. Consequently, this conventional maintenance policy is not adequate to fulfill the needs of high availability for automotive fleets. However, in this paper the study is directed to condition-based predictive maintenance concept as an alternative policy to determine fleet's health for increasing the fleet availability and to reduce the operating cost. The concept is based on predicting the system degradation and calculating the reliability function for the component. An application carried out on internal combustion engine crankshaft main bearing to illustrate the effectiveness of this technique. The results indicate that knowing the remaining lifetime for engine crankshaft main bearing is very important to take the repair or replacement decision in a suitable time.
CitationAhmed, I., Khalil, M., Allam, E., and Abouel-Seoud, S., "Remaining lifetime Evaluation for Crankshaft Main Bearings," SAE Technical Paper 2008-01-1654, 2008, https://doi.org/10.4271/2008-01-1654.
- Terry B. Lee S. “What is the prognosis on your maintenance program” Engineering and Mining Journal May 1995
- Jaw, L. Wang, Y. Friend, R. “ICEMS: Intelligent Condition-based Engine/Equipment Management System” Proceedings of ASME TURBO EXPO 2001 June 4-7 New Orleans, Louisiana 2001
- Fujita, K. Shiba, S. “System-based product design and system structure changeover under intelligent optimally: A case study on leading design of vehicles” Proceedings of Eco-Design 21:Second International Symposium on Environmental Conscious Design and Inverse Manufacturing Tokyo, Japan 11-15 December 2001
- Kapur K. Lamberson L. “Reliability in engineering design” John Wily & Sons New York 1967
- Ozekici S. “Optimal maintenance policies in random environments” European Journal of Operational Research 82 1995
- Grall A. Dieulle L. Berenguer C. Roussignol M. “Continuous-time predictive maintenance scheduling for a deteriorating system” IEEE transactions on reliability 51 2002
- Greitzer F. Stahlman E. Ferryman T. Wilson B. Kangas L. Sisk D. “Development of a framework for predicting life of mechanical systems: Life Extension Analysis and Prognostics (LEAP)” International society of logistics (SOLE), symposium Las Vegas 1999
- Greitzer F. Ferryman T. “Predicting remaining life of mechanical systems” Intelligent ship symposium IV April 2001
- Greitzer F. Pawlowski R. “Embedded prognostics health monitoring” International instrumentation symposium May 2002
- Lai K. Leung Francis K. Tao B. Wang S. “Practices of preventive maintenance and replacement for engines: A case study” European journal of operational research 124 2000
- Ireson Grant W. Coombs Clyde F. Moss Richard Y. “Handbook of reliability engineering and management” McGraw-Hill 2nd 1996