Shawulu H. Nggada
Dynamic effect of perfect preventive maintenance on system reliability and cost using HiP-HOPS
Nggada, Shawulu H.; Parker, David J.; Papadopoulos, Yiannis I.
Dr David Parker D.J.Parker@hull.ac.uk
Professor Yiannis Papadopoulos Y.I.Papadopoulos@hull.ac.uk
The occurrence of failure in a safety critical engineering system can be reduced through the use of preventive maintenance (PM). Each time a component of the system is maintained its effective age is reduced; the extent of this age reduction depends on the effectiveness of the PM known as the improvement factor. While some components may need to be maintained every PM interval T, typically most components will possess a PM interval which is a multiple of T (aT), where a is the coefficient of maintenance interval (CoMI). Where PM completely rejuvenates the component being maintained, it is termed perfect preventive maintenance (PPM). This paper investigates the effect of PPM on system reliability, unavailability and cost. Firstly, a model of the effect of PPM actions on the reliability, unavailability, and cost of components, calculated using a Weibull distribution, is established. Secondly, HiP-HOPS, a semi-automatic method for analyzing system dependability (i.e. safety, reliability and availability analysis), is extended to consider PPM of components in a system. Finally, an evolutionary optimization algorithm, using HiP-HOPS, is applied to PM scheduling. Copyright © 2010 IFAC.
|Journal Article Type||Conference Paper|
|Journal||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Nggada, S. H., Parker, D. J., & Papadopoulos, Y. I. (2010). Dynamic effect of perfect preventive maintenance on system reliability and cost using HiP-HOPS. IFAC postprint volumes IPPV / International Federation of Automatic Control, 43(17), 204-209. doi:10.3182/20100908-3-pt-3007.00039|
|Keywords||Preventive maintenance; Reliability; Availability; Multiobjective optimization; Genetic algorithms|
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