Gas Turbine Sensor Sampling Triggered by Local MEMS Vibration
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Solution Overview
Problem
Existing systems struggle to dynamically adjust the data acquisition rate of aircraft system sensors in response to vibrational events, limiting the ability to accurately monitor engine parameters during such events.
Innovation Solution
The implementation of micro-electromechanical-systems (MEMS) positioned locally to engine components, which trigger an increase in the data acquisition rate of vibrational sensors when predetermined vibration thresholds are exceeded, ensuring sufficient data capture during structural response modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the data acquisition rate is continuously maintained at a high level to capture vibrational events, then the reliability of vibration monitoring is improved, but the energy consumption and data processing load increase
Solution Approach 1:
The system implements periodic sampling at a base rate and temporarily increases to a higher rate when vibrational events are detected. This allows the system to maintain reliability during critical events while reducing energy consumption during normal operation by using lower sampling rates.
Solution Approach 2:
The system uses feedback from vibration sensors to dynamically adjust the data acquisition rate. When vibration thresholds are exceeded, the system receives feedback signals and automatically increases the sampling rate, ensuring reliable monitoring only when necessary rather than continuously.
2Measurement precision
If the data acquisition rate is increased in response to vibrational events, then the measurement precision of engine parameters is improved, but the complexity of the control system increases
Solution Approach 1:
The system dynamically adjusts the data acquisition rate based on real-time vibration conditions rather than operating at a fixed rate. This allows measurement precision to be optimized during vibrational events while maintaining simpler base-rate operation during normal conditions, balancing precision needs with system complexity.
Solution Approach 2:
The system changes the sampling rate parameter in response to detected vibrational events. By modifying this key parameter dynamically, the system achieves higher measurement precision when needed without requiring a permanently complex control architecture, as the change is triggered only by specific conditions.
3Productivity
If the base data acquisition rate is increased to ensure sufficient data capture during vibrational events, then the productivity of data collection is improved, but the loss of energy during normal operation increases
Solution Approach 1:
The system uses periodic base-rate sampling during normal operation and transitions to higher-rate periodic sampling only when vibrational events occur. This ensures adequate data collection productivity during critical events while minimizing energy loss during normal operation by maintaining a lower base acquisition rate.
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
Enhances the data acquisition rate of sensors in response to vibrational events, providing accurate and timely engine parameter monitoring, thereby improving engine control and maintenance analysis.
Implementation Method 1
a local micro-electromechanical-system (MEMS) configured to detect the occurrence of an event and transmit a signal when the occurrence is detected
Implementation Method 2
The signal causes the controller to adjust a data acquisition rate of a sensor
Data Source
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Figure 5
AI summary
An aircraft sensor system (100) includes a first sensor (90; 110; 430) configured to detect a parameter of an aircraft system and a first micro electromechanical-system (MEMS) (120, 122, 124, 126, 128; 410) disposed local to a first component within the aircraft system. The first MEMS (120 ... 410) is communicatively connected to a controller (92; 130; 420), and is configured to trigger in response to a corresponding parameter exceeding a threshold (232). The controller (92 ... 420) is connected to an output of the first sensor (90 ... 430) and includes a non-transitory memory storing instructions configured to cause the controller (92 ... 420) to increase a sampling rate of the first sensor (90 ... 430) to a sampling rate corresponding to the first component for at least a predetermined length of time in response to the first MEMS (120 ... 410) being triggered.