Compressor Rotating Stall Detection via Turbine Outlet Temperature
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Solution Overview
Problem
Current methods for detecting rotating separation in turbomachine compressors are either ineffective in distinguishing between pumping and separation situations or require expensive and unusual sensors, necessitating a simple, rapid, and reliable solution using conventional sensors.
Innovation Solution
A method that monitors temperature changes at the turbine outlet, combined with indicators of abnormal acceleration and compressor operating line characteristics, employing fuzzy logic to update temperature thresholds and enhance detection reliability and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sensors and methods are used for detecting rotating separation, then the detection system is simple and cost-effective, but the detection reliability and ability to distinguish pumping from separation situations is insufficient
Solution Approach 1:
The detection method is segmented into multiple independent indicators: temperature difference indicator, acceleration indicator, and compressor operating line indicator. Each indicator is calculated separately from existing sensor data, and their combination improves reliability without requiring additional sensors or complex hardware modifications.
Solution Approach 2:
The invention transitions from single-parameter detection to multi-dimensional detection by incorporating temperature, acceleration, and operating line characteristics. This dimensional expansion enables differentiation between pumping and rotating separation situations using conventional sensors, improving detection reliability without increasing device complexity.
2Productivity
If existing detection methods are applied, then the implementation is straightforward, but false alarms cannot be effectively reduced and detection speed is limited
Solution Approach 1:
The system pre-calculates and stores compressor operating line characteristics and determines temperature thresholds before detection is needed. During operation, the method quickly compares real-time measurements against these pre-established references, enabling rapid detection while maintaining high reliability through predetermined validation criteria.
Solution Approach 2:
The method continuously monitors multiple indicators and uses feedback from their combined evaluation to confirm or reject rotating separation detection. This feedback mechanism reduces false alarms by requiring consistent signals across multiple parameters before triggering an alarm, while maintaining fast detection response.
Data Source
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AI summary
According to the invention, the detection method includes the following steps: detecting (E40) an abnormal acceleration of the turbine engine or of a operating line of the compressor that is characteristic of a fault in the turbine engine; storing (E50) a reference temperature (EGTref) measured at the outlet of a turbine of the turbine engine at the moment of the detection; comparing (E60) a difference between a routine temperature (EGT), measured after the detection at the outlet of the turbine, and the reference temperature (EGTref) with a predetermined temperature threshold (SEGT); and identifying (E70) the presence of a rotational separation in the event the threshold is exceeded.