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A Novel Method of Impeller Blade Monitoring Using Shaft Vibration Signal Processing
Jindrich Liska1, Vojtech Vasicek1, Jan Jakl1
1NTIS-New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Univerzitni 8, 301 00 Plzen, Czech Republic.
Sensors (Basel, Switzerland)
|July 9, 2022
Summary
This study introduces a cost-effective method for monitoring steam turbine impeller blade vibrations using existing sensors. The new approach enables early fault detection, preventing costly outages and enhancing operational safety.
Area of Science:
- Mechanical Engineering
- Vibration Analysis
- Turbomachinery Diagnostics
Background:
- Impeller blade vibration monitoring is crucial for steam turbine health.
- Existing long-term monitoring systems are expensive and require specialized sensors.
- Many steam turbines lack dedicated impeller blade monitoring.
Purpose of the Study:
- To develop an accessible and cost-effective method for long-term impeller blade monitoring.
- To utilize standardly installed sensors for vibration analysis.
- To enable automatic tracking of natural blade frequency and amplitude.
Main Methods:
- Analysis of relative shaft vibration signals.
- Development of a new algorithm for signal processing.
- Implementation within a remote monitoring system framework.
Main Results:
- Successful development of an algorithm for analyzing relative shaft vibration signals.
- Demonstration of a method utilizing existing sensors, reducing costs.
- Capability for automated, long-term tracking of natural blade frequency and amplitude.
Conclusions:
- The developed method offers a significantly more accessible approach to impeller blade monitoring for steam turbine operators.
- This innovation can prevent unexpected turbine outages and minimize profit loss through early fault detection.
- The system is designed for long-term, remote monitoring, enhancing operational efficiency and safety.
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