Predictive maintenance model-based approach for objects exposed to extremely high temperatures

The present paper is an attempt for acceptable balance between theoretical research, computer simulations and experiments on real industrial objects. Several rules and recommendations are retrieved from the obtained results about the exploitation domains of certain classes of industrial metallurgical objects. The practical trend of the presented results is contained in our efforts for a comparative analysis and also to form rules of the presented methods for intelligent predictive diagnostics. An original method is proposed for predictive maintenance of a metallurgical ladle based on simulations of diagnostics and forecasting of the current state of high-temperature objects. Knowing the condition of the insulation of metallurgical ladles especially at the end of the campaign is essential for operational management in a case of local damage.