Dynamic Balancing and Vibration Analysis of Rotor Turbines: Methodologies and Applications in Predictive Maintenance

Abstract

This paper presents a comprehensive study on dynamic rotor balancing and vibration analysis as part of a predictive maintenance framework for thermal power plants, with a case study focused on the TVF-100-2 turbo generator. The methodology involves on-site multi-plane balancing under real operational conditions, supported by spectral vibration diagnostics, phase angle evaluation, and orbit analysis. These advanced techniques enable precise identification of unbalance-related vibration issues and their effective mitigation without disassembly. This study demonstrates how integrating dynamic balancing with continuous monitoring and diagnostic analysis enhances operational stability and extends equipment lifespan. The findings contribute to more efficient predictive maintenance strategies, with significant implications for reducing downtime and improving the reliability of rotating machinery in thermal power generation.