Ship Maintenance Decision Support System Based on Data Base and Expert System

To solve the problem of maintenance deficiency and surplus emerges in the ship schedule maintenance mode, we developed intelligent condition-based maintenance decision support system. We adopted a multi-parameters synthetic condition assessment model based on fuzzy theory and set up a fault diagnosis model in terms of reasoning machine based on expert knowledge. Then the results from the above models may help the managers to make a maintenance decision. All of these operations were completed with the assistance of the data base. The software was programmed with C++ Builder as the basic tool. As a general platform, the system has integrated functions of condition assessment, fault diagnosis and maintenance decision. On the basis of the support system, we can inspect and maintain the ship or part of that effectively and economically.