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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62672
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Mechanical Engineering
Anjuman College of Engineering and Technology, Nagpur, India
Department of Mechanical Engineering
Anjuman College of Engineering and Technology, Nagpur, India
Department of Mechanical Engineering
Anjuman College of Engineering and Technology, Nagpur, India
Steam turbines are critical components in thermal power plants, where their efficiency and reliability significantly impact overall power generation. This paper presents the analysis and implementation of a Steam Turbine Alignment Monitoring System at the Koradi Thermal Power Plant, focusing on improving turbine performance through precise alignment monitoring. Shaft misalignment is one of the major causes of vibration, energy loss, and mechanical failure in turbines; therefore, continuous monitoring is essential. The proposed system utilizes dial gauge measurements, vibration sensors, and displacement monitoring techniques to evaluate alignment conditions between LP1 and LP2 turbines. Data collected from multiple angular positions is analyzed to identify radial and axial deviations. Additionally, seal bore readings and gland centering measurements are used to assess structural uniformity and component positioning. The integration of real-time monitoring with SCADA and Industrial Internet of Things (IIoT) platforms enables continuous data acquisition and condition-based maintenance. Signal processing techniques help improve measurement accuracy, while advanced analytical approaches support early fault detection. The results indicate that alignment deviations are within acceptable limits but require fine adjustments to minimize vibration and improve efficiency. The study demonstrates that implementing an intelligent alignment monitoring system enhances turbine lifespan, reduces downtime, and supports reliable and cost-effective power generation.
KEYWORDS
The present study on the Steam Turbine Alignment Monitoring System demonstrates the significance of precise shaft alignment in ensuring efficient and reliable turbine operation. The analysis of CRO readings for LP1 and LP2 turbines shows that both units are operating within acceptable alignment limits. However, LP1 exhibits slightly higher variation compared to LP2, indicating minor misalignment that may lead to increased vibration and mechanical stress if not corrected. The calculated parameters, including mean value, Total Indicator Run-Out (TIR), and deviation, confirm that LP2 has better alignment stability and consistency. In contrast, LP1 requires fine adjustment to achieve optimal alignment and performance. Even small deviations can impact turbine efficiency, bearing life, and overall system reliability over time. The study highlights the importance of continuous monitoring, periodic alignment checks, and accurate data analysis for effective maintenance planning. Implementing such monitoring systems can reduce unplanned downtime, minimize maintenance costs, and enhance operational safety. Overall, the alignment monitoring system contributes to improved turbine lifespan, better efficiency, and sustainable power generation in modern thermal power plants.
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Publication Date
5/11/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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