Intelligent optimization systems for steam boiler maintenance: real case study

Abstract

The steam boiler plays an integral role in power plants. Most researcher detected that steam boiler in a power plant face an issue of a major outage. To avoid repetition of outage or failure, preventive maintenance scheduling also known as scheduled maintenance has been used widely in the power plant as an alternative based on the failure history of the equipment. However, the main issue plaguing scheduled maintenance is the redundancy of maintenance activities. Based on the selected adopted case study, we identified certain redundant activities in the scheduling. As a potential solution to this problem, the Analytic Hierarchy Process (AHP) and the Particle Swarm Optimization (PSO) are implemented to the adopted case study to optimize the maintenance operational duration and cost before implementing to the real case study. © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.