Özet:

Today, with the developing technology, it is important to establish facilities suitable for industry 4.0 in order to reduce CO2 emissions in factories, ensure efficiency, and automatically monitor the systems. Cement Factories are at the forefront of energy-intensive sectors. The cement industry is constantly focused on production, high energy demand and unforeseen failures lead to high-cost loss and systemic crises with the decrease in production/sales targets. Predictive maintenance, which is one of the maintenance methods, is aimed to solve the problems by determining the failure sources that may occur economically by examining and analyzing the physical parameters such as vibration, temperature, frequency changes, amperes, and spectra of the asynchronous motors in the field in trend data. In this study, dynamic and static analysis of large power asynchronous motors with a stator voltage of 6300V in cement plants are analyzed with the help of advanced measuring instruments. As a result of the analyses, a general evaluation study was carried out on the actions to be implemented in the maintenance plan by identifying the types of failures that may occur in advance.

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