An Integrated Framework of Designing a Decision Support System for Engineering Predictive Maintenance

The paper describes a framework of decision support system for engineering predictive maintenance for civil engineering. The proposed framework integrates traditional decision support system with the advances of expert system. While the traditional decision support system constitutes data management, decision methodology and user interface the advances of expert system embrace symbolic reasoning and explanation capabilities. That assists decision maker in making strategic decisions by presenting information and interpretations for various alternatives. The essence of the proposed integrate framework of decision support system is the ability to incorporate actual information from structure health monitoring and structure health modeling modules with knowledge management module in a structure of health management module. The data flow diagrams are used to define how data is processed and stored. They also show the points of data entry and exit and are important tool assisting in building a logical model of the designed system. All of these contributed the predictive maintenance enhancement by using of advantages decision support system together with the capabilities of expert system.