Dynamic Engine Data Sampling Rate Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing engine monitoring systems face challenges in efficiently collecting and storing data at high sampling rates due to limited storage capacity, particularly in aircraft where weight and space constraints are critical, and often fail to capture anomalous conditions before a fault occurs.
Innovation Solution
A system comprising sensors, data sampling, quantization, storage rate determination, encoding, and storage components that dynamically adjust sampling and storage rates based on analysis of sensor data to efficiently store data and detect anomalies, utilizing techniques like Nyquist sampling and data compression to optimize storage usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is collected at high sampling rates to capture anomalous conditions, then diagnostic capability is improved, but storage capacity is exhausted quickly
Solution Approach 1:
The system dynamically adjusts the sampling rate based on real-time analysis of data characteristics. During normal operation, a lower sampling rate conserves storage, while during anomalous conditions detected through pattern recognition, the sampling rate increases to capture diagnostic information, thus resolving the contradiction between storage efficiency and diagnostic capability
Solution Approach 2:
The patent changes the sampling rate parameter adaptively rather than maintaining a fixed rate. By monitoring data variance, signal characteristics, and operational states, the system modifies the sampling parameter in response to changing conditions, enabling high-fidelity recording only when necessary and preserving storage for critical events
2Quantity of substance
If storage capacity is increased to retain high-rate sampling data, then data retention is improved, but weight and space constraints are violated
Solution Approach 1:
Instead of maintaining high sampling rates throughout the entire flight, the system applies partial high-rate sampling only during periods when anomalous conditions are detected. This partial action approach captures necessary diagnostic data without requiring proportional increases in storage capacity, thereby avoiding additional weight and space requirements
3Device complexity
If fixed sampling rate is used throughout flight, then system simplicity is maintained, but anomalous conditions may be missed
Solution Approach 1:
The system incorporates feedback mechanisms where data from initial sampling is analyzed to detect patterns indicating anomalous conditions. This analysis feedback triggers adjustments to the sampling rate, creating a closed-loop system that automatically responds to detected conditions, thereby improving reliability without requiring complex manual intervention
Data Source
AI summary
A system for collecting and storing performance data for an engine is provided. The system includes one or more sensors configured to generate sensor data signals representative of one or more engine data performance parameters. The system further includes a data sampling component, a data quantizing component, a data storage sampling rate component, a data encoding component and a data storage component. The data sampling component is configured to sample the sensor data signals at a data sampling rate. The data quantizing component is configured to generate quantized data samples corresponding to the sampled sensor data signals. The data storage sampling rate component is configured to determine a data storage sampling rate for the quantized data samples, based on an analysis of at least a subset of the quantized data samples. The data encoding component is configured to encode the quantized data samples according to the data storage sampling rate, and the data storage component is configured to store the encoded data samples from the encoding component.