Adaptive Speed Sensing Thresholds for Turbine Engine Noise Filtering
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Solution Overview
Problem
Industrial and aircraft turbines face challenges in accurately measuring rotational speed due to varying operating conditions, which can lead to inaccurate control and inefficiencies, especially with traditional variable reluctance sensors that struggle to differentiate between signal frequency and noise.
Innovation Solution
The implementation of an adaptive speed sensing system that dynamically adjusts arming and triggering thresholds based on real-time operational conditions, using an adaptive speed sensing module to refine the configuration settings for the speed sensor, allowing for accurate frequency signal extraction and turbine speed control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional variable reluctance sensors are used to measure rotational speed, then the system structure is simple, but the measurement precision deteriorates under varying operating conditions due to inability to differentiate signal from noise
Solution Approach 1:
The patent implements dynamic threshold adjustment where the arming and triggering thresholds are no longer fixed values but adapt automatically based on the periodicity of the periodic signal. The system calculates the periodicity of the sensor output signal and uses this information to dynamically set the thresholds, allowing the sensor system to maintain high measurement precision across varying operating conditions while managing complexity through algorithmic adaptation rather than hardware complexity
Solution Approach 2:
The patent changes the parameters of the threshold signals from fixed predetermined values to dynamically adjustable values based on the periodicity of the input signal. By modifying the arming and triggering threshold parameters according to the measured periodicity, the system achieves accurate speed measurement across different operating conditions without requiring complex hardware modifications
2Adaptability or versatility
If fixed threshold values are used for speed sensing, then the device complexity is low, but the adaptability deteriorates under varying turbine operating conditions
Solution Approach 1:
The patent implements a self-adjusting mechanism where the speed sensing system automatically adapts its own thresholds based on the periodicity of its input signal. The system uses the periodicity information derived from the sensor output to automatically set appropriate arming and triggering thresholds without requiring external intervention or complex control mechanisms, achieving high adaptability through self-service
Solution Approach 2:
The patent employs feedback by using the measured periodicity of the periodic signal to adjust the threshold parameters. The system continuously monitors the periodicity and uses this feedback information to dynamically adjust the arming and triggering thresholds, creating a closed-loop system that adapts to changing operating conditions automatically
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides accurate rotational speed measurement with minimal delay across various turbine operating conditions, enhancing control precision and reliability by filtering out noise and adapting to changing operational parameters.
Implementation Method 1
The speed is typically sensed using a variable reluctance sensor and a gear
Data Source
AI summary
The subject matter of this specification can be embodied in, among other things, a method for controlling a turbine engine that includes receiving a predetermined arming threshold signal, receiving a predetermined triggering threshold signal, receiving a periodic signal from a speed sensor, determining a frequency signal based on the periodic signal, the predetermined arming threshold signal, and the predetermined triggering threshold signal, determining a speed value based on the determined frequency signal, and controlling a speed of a turbine based on the determined speed value.