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This paper proposes an advanced RBM methodology for the design of optimum maintenance programs.
Proper prediction of fatigue life is essential for safe design and operation of structures, and optimum maintenance planning.
By using the SHM system, it is possible to detect deterioration, determine anomalies and assess the safety level which will allow optimum maintenance strategies.
The methodology, called risk-based maintenance (RBM) is based on integrating a reliability approach and a risk assessment strategy to obtain an optimum maintenance schedule.
The geometry of the transversal section and optimum maintenance system have been designed with respect to the unique geological and shear zone conditions encountered in Siah Bishe.
One the most important tasks during any drilling operation is to measure rheological properties of drilling fluids to allow for optimum maintenance and wellbore hydraulics management.
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A decision tree analysis is used to develop an optimum lifetime maintenance plan which is updated as inspections occur and more data is available.
This chapter focuses on processing environmental prerequisites and covers the design of the food manufacturing infrastructure (the factory, the process lines and services, the equipment and the food operatives) and the hygienic practices to keep the infrastructure in optimum condition (maintenance, pest control, cleaning and disinfection and personal hygiene).
Investigating the optimum blend of maintenance strategies for a given manufacturing system is a continuing concern amongst maintenance academics and professionals.
To be able to devise optimum strategies for maintenance and rehabilitation, it is essential to formulate an accurate prediction of pavement life and its maintenance needs.
This paper discusses a methodology for the design of an optimum inspection and maintenance program.
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