Prediction algorithms using specialized software tools for steel industry equipment

The paper aims to present a model for predictive maintenance applicable in steel industry for critic equipment. This paper investigates the application of multi-step time prediction to sustain the turbo blowers (TB) equipment prognostics using software analytics algorithms which describe forecasting models, statistical approach or the formulas specifies for industrial equipment developed based by DAX formulas. This application represent a new method for realize a predictive maintenance describe as an industrial revolution characterized by smart systems and Internet-based solutions.