Keywords
Abstract
This article examines the monitoring of vibration conditions in generators and focuses on methods for early detection of mechanical and electrical faults using vibration analysis. The study describes sources of vibration, measurement techniques, and signal processing approaches used in modern diagnostic systems. Special attention is given to monitoring system structure, fault identification methods, and prevention of emergency situations through continuous condition control. Modern technologies such as artificial intelligence, machine learning, and IoT-based monitoring systems are also considered. The presented material reflects the importance of vibration monitoring in improving reliability, safety, and efficiency of generator operation in power systems.
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