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Extending HiP-HOPS with Capabilities of Planning Preventative Maintenance

Parker, David; Papadopoulos, Yiannis



Majid Sarrafzadeh

Panagiotis Petratos


An effective preventive maintenance (PM) policy for components of an engineering system slows down the rate at which component fatigue accumulates, thereby minimising the occurrence of component failure. The benefit of PM at system level is improvement of dependability properties including safety, reliability and availability. Typically, while some components may need to be maintained at every minimum PM interval T, most components will need to be maintained at a longer PM interval typically multiples of T. Deciding on optimal PM times for the components of a system is becoming more difficult as engineering systems increase in scale and complexity. Indeed modern systems may incorporate large numbers of components including programmable electronic devices which introduce new and difficult to analyse failure modes. Therefore the assessment of dependability is becoming more difficult and hence, there is a need for automation, especially in the case of preventive maintenance where the dimension of time introduces extra complexity. The possibilities of different PM schedules are numerous and therefore techniques that will rapidly assess the effect of different PM schedules on dependability are necessary. This paper extends a well-established automated dependability analysis tool (HiPHOPS) with capabilities of planning preventive maintenance. The effect of periodic maintenance on components is first discussed and a mathematical model is developed to represent this in the context of HiP-HOPS. It is then shown how HiP-HOPS can be modified to enable prediction of dependability properties of a system, in which groups of components periodically undergo maintenance at regular intervals which are multiples of a minimum PM interval T. The concept is demonstrated on an example fuel system and the effect of two different maintenance schedules is shown. It is shown that the proposed concept can be combined with genetic algorithms to enable automatic optimisation of PM schedules.


Parker, D., & Papadopoulos, Y. (2010). Extending HiP-HOPS with Capabilities of Planning Preventative Maintenance. In M. Sarrafzadeh, & P. Petratos (Eds.), Strategic Advantage of Computing Information Systems in Enterprise Management (231 - 245). ATINER

Acceptance Date Jan 1, 2010
Publication Date Jan 1, 2010
Pages 231 - 245
Book Title Strategic Advantage of Computing Information Systems in Enterprise Management
ISBN 978-960-6672-93-4
Public URL