الفهرس 
IntrductionOnly 14 pages are availabe for public view
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Abstract
In Egypt many industries maintenance strategy is not taken properly into
consideration. Consequently, total maintenance cost keeps rising. The electric
power plants face major challenges to find the appropriate intervals of scheduled
outages of generation units over a given period of time. The level of energy reserve
should be maintained. Reduction both of downtimes, and maintenance costs per
MW.h of output. This work is based on practical experience related to the analysis
and maintenance schedule for steam turbine. In 2015 steam turbine’s bearing
experienced a failure after peak load times of the summer months. Preventive
Maintenance (PM) scheduling for steam turbine is an important task in power
system and plays important role in the operation and planning activities of the
electric power utility. PM model has been developed using Genetic Algorithm
(GAs) techniques to obtain optimal PM scheduling for steam turbine, reduction both
of down times, and total maintenance cost. .