APPLYING OF ARTIFICIAL NEURAL NETWORK IN MAINTENANCE PLANNING OF METALLURGICAL EQUIPMENT

Maintenance of metallurgical equipment is very complex and demanding job. Condition Based Maintenance (CBM) is used for complex and significant equipment. The paper shows element selection that will be used in CBM planning as a location on which will be applied neural network. The paper presents few different neural network algorithms that have been used for different prediction problems and review of achieved results. Data structure that has been used in researching problem is part of Information System and its Equipment Maintenance subsystem that was developed for enterprise Aluminij d.d. Mostar.