Analysis of common problems and optimization strategies in thermal power plant steam turbine operation

Insufficient power, abnormal vibration, overheating of bearings, damage of blades and leakage of cylinders are common in the operation of steam turbines in thermal power plants, which seriously affect the efficiency and safety of the units. For these failures, modern diagnostic technologies such as intelligent monitoring system combining fuzzy clustering and neural network can analyze the operating parameters in real time and locate the failure points accurately, while vibration spectrum analysis can effectively identify mechanical defects such as rotor imbalance. At the management level, it is necessary to strengthen the daily inspection, optimize the lubrication and cooling system, and evaluate the performance through thermal measurement. Practice has shown that measures such as improving oil filtration precision, adjusting vapor seal gap and upgrading frequency conversion pumps can significantly improve operational stability. In the future, predictive maintenance should be combined with digital twin technology, and operation procedures should be standardized to extend equipment life.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-10-01
DOI
https://doi.org/10.1049/icp.2025.3015
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of common problems and optimization strategies in thermal power plant steam turbine operation

Yiming Wang
IET conference proceedings.
Power Systems and Renewable Energy
article

Analysis of common problems and optimization strategies in thermal power plant steam turbine operation

Yiming Wang
article en

Abstract

Insufficient power, abnormal vibration, overheating of bearings, damage of blades and leakage of cylinders are common in the operation of steam turbines in thermal power plants, which seriously affect the efficiency and safety of the units. For these failures, modern diagnostic technologies such as intelligent monitoring system combining fuzzy clustering and neural network can analyze the operating parameters in real time and locate the failure points accurately, while vibration spectrum analysis can effectively identify mechanical defects such as rotor imbalance. At the management level, it is necessary to strengthen the daily inspection, optimize the lubrication and cooling system, and evaluate the performance through thermal measurement. Practice has shown that measures such as improving oil filtration precision, adjusting vapor seal gap and upgrading frequency conversion pumps can significantly improve operational stability. In the future, predictive maintenance should be combined with digital twin technology, and operation procedures should be standardized to extend equipment life.

IET conference proceedings.Vol. 2025(24)
Tianneng Power (China) (CN)
Openalex Percentile: Top 66%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of common problems and optimization strategies in thermal power plant steam turbine operation — Yiming Wang · IET conference proceedings. (2025) | TGRS Research Map | TGRS