Abstract:
In recent years, progress in large size machine and advance factory equipment has contributed to the improvement of productivity, product quality. On the other hand, once trouble occurs economic losses are very great, and big problem arises also in safety control. In the recent years, a method for diagnosis the abnormality of equipment by measuring vibration and current harmonics for analysis is known as one of the efficient method of the equipment diagnosis. In the present thesis, work is to develop compact monitoring system for fast and efficient diagnosis the health of induction machines in steel Rolling mill and small induction motors used in labs. An attempt is to monitor the condition of the rotating machine in steel rolling mill and observe the changes in machine variables that occur at different situation. Changes in the various statistically and frequency parameters are observed from recorded vibration data at diiferntdirection (radial and axial) and at different load conditions. An attempt is made to develop a system that has ability to predict the machine condition in the same sense as that of professional expert..
