Abstract
The current study proposes a intelligent maintenance decision-making 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
