Intelligent Decision Support for Preventive Maintenance Planning of Equipment in the Chemical Industry

The article outlines the relevance of intelligent decision support in the system of preventive maintenance of equipment at a chemical industry enterprise when planning maintenance and repair activities. The experience of implementing intelligent decision support in planning maintenance activities in various industries is summarized, the problems of the enterprise under study in this subject area are considered, and the problem associated with the preparation of data for the operation of intelligent support algorithms obtained on the basis of records of repair logs and equipment inspection logs filled in by expert specialists is highlighted. The tasks are set and methods for solving them are given, taking into account the restrictions in force at the enterprise under study. The results of applying the methods for preparing expert data for the operation of algorithms are presented, their impact on improving the technical condition of the equipment by increasing the accuracy of planning maintenance activities is assessed. The conclusions are presented on the feasibility of using intelligent decision support based on expert data when planning preventive maintenance activities at chemical industry enterprises.