Sliding DFT Bins for Fuel Pressure Measurement
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Solution Overview
Problem
Existing optical pressure sensors for fuel measurement face a tradeoff between accuracy and computational efficiency, with conventional techniques requiring extensive calculations to achieve satisfactory results.
Innovation Solution
A method utilizing Discrete Fourier Transform (DFT) to transform wavelength domain data into frequency domain data, selectively focusing on a limited set of frequency bins around a frequency of interest, thereby reducing computational complexity while maintaining accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional Fourier Transform based algorithms are used for fuel measurement, then measurement accuracy is improved, but computational time and memory depth increase
Solution Approach 1:
The patent segments the frequency domain data by identifying a frequency of interest and selecting only a limited set of frequency bins around that frequency. This segmentation approach divides the complete frequency spectrum into relevant and irrelevant portions, processing only the relevant bins to reduce computational time while maintaining measurement accuracy.
Solution Approach 2:
The patent extracts and focuses on the frequency of interest from the complete frequency domain data. By identifying the peak frequency and selecting only the bins in the range from M-x to M+x, the method extracts the essential information needed for accurate fuel measurement while discarding unnecessary computational processing of other bins.
2Measurement precision
If conventional Fourier Transform based algorithms are used for fuel measurement, then measurement accuracy is improved, but memory depth requirements increase
Solution Approach 1:
The patent segments the frequency domain data by identifying a frequency of interest and selecting only a limited set of frequency bins around that frequency. This segmentation approach divides the complete frequency spectrum into relevant and irrelevant portions, processing only the relevant bins to reduce memory depth requirements while maintaining measurement accuracy.
Solution Approach 2:
The patent extracts and focuses on the frequency of interest from the complete frequency domain data. By identifying the peak frequency and selecting only the bins in the range from M-x to M+x, the method extracts the essential information needed for accurate fuel measurement while reducing memory depth requirements.
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 enables accurate fuel pressure and quantity measurements with significantly reduced computational expense, achieving results comparable to exhaustive techniques with a fraction of the calculations.
Implementation Method 1
Pressure sensing can be performed using optical pressure sensors. These sensors function on the Fabry-Pérot interferometry.
Implementation Method 2
performing a Discrete Fourier Transform (DFT) to transform the wavelength domain data into frequency domain data
Data Source
AI summary
A method includes receiving wavelength domain data for a time step, performing a Discrete Fourier Transform (DFT) to transform the wavelength domain data for the time step into frequency domain data for the time step only for the limited set of frequency bins associated with a frequency of interest, calculating pressure based on the frequency domain data for the time step, and updating the frequency of interest and the limited set of frequency bins. The method includes repeating receiving wavelength data for subsequent time steps, performing a DFT to transform the wavelength data for the respective subsequent time steps, calculating pressure for each subsequent time step, and updating the frequency of interest and limited set of frequency bins for each subsequent time step. The method includes outputting pressure data based on calculating pressure for the subsequent time steps.