Design of intelligent maintenance decision-making system for fixed equipment in petrochemical plants

Abstract

The current study proposes a intelligent maintenance decisionmaking system is as a fixed equipment maintenance strategies assessment system. Because the maintenance decision-making is based on monitoring of equipment damage state and risk in the system, the system is established on the distributed database and internet technology. Moreover, different maintenance strategies, such as corrective, preventive, and predictive maintenance strategies after periodic and in-service inspections, are determined according to equipment failure consequences and risks. According to the data in the risk database and damage state database, the decision-making regards the "System" as a decision-making object and performs the risk-concentrated analysis, the operational cycle after maintenance and cost-effective maintenance assessment, where the multi-objective optimization of maintenance strategies on safety, availability, and economic efficiency is accomplished. © Springer-Verlag Berlin Heidelberg 2012.