Operational anomalies identification of the turbo blowers using statistical analysis of the experimental data

In this paper is presented a method for anomalies identification that may occur in equipments operation because of the large variations, above the limits, of the process parameters. The method is developed by using statistical approach and visualization tools of the processed data. The scientific visual method is generally used to control, monitor and improve processes by removing special cause variation. The statistical process control (SPC) has an advantage over other methods, because it can be applied to any process with its emphasis on early detection and prevention of problems. The objective for this paper is to present the technique used to control and monitor the Turbo Blower equipment, from steel industry. The purpose of statistical analysis is to ensure that all processes function as accurately as possible within the tolerance limits.