Vibration Estimation Using Segmented Radar Sequences
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Solution Overview
Problem
Current radar systems are unable to provide reliable and energy-efficient estimation of high vibration frequencies above 1 kHz, as they cannot generate distance variation values quickly enough to accurately measure vibrations within this range.
Innovation Solution
The method involves dividing the distance data acquisition and processing into separate sequences, allowing for shorter time intervals between data acquisition operations, which increases sampling frequency and enables accurate estimation of higher vibration frequencies. This approach includes performing multiple sequences with varying separation times to cover a broader range of vibration frequencies, using electromagnetic signals and signal processing to determine distance variations and vibration indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar systems are used for contactless vibration estimation, then the system can operate without physical contact, but the sampling frequency is insufficient to accurately measure high vibration frequencies above 1 kHz
Solution Approach 1:
The patent segments the distance data acquisition process into multiple independent sequences, each optimized for specific frequency ranges. By dividing the measurement task into separate acquisition sequences with different separation times, the system can achieve both high sampling rates for high-frequency vibrations and adequate coverage for low-frequency vibrations, resolving the contradiction between measurement precision and productivity.
2Productivity
If the separation time between consecutive distance data acquisition operations is reduced to increase sampling frequency, then high vibration frequencies can be measured, but the total measurement time becomes insufficient for accurately capturing lower vibration frequencies
Solution Approach 1:
The patent implements dynamic adaptation by providing different separation times for different acquisition sequences based on the vibration frequency characteristics. The system can adjust the separation time parameter dynamically - using shorter separation times in sequences targeting high frequencies and longer separation times in sequences targeting low frequencies, thereby optimizing measurement precision across the entire frequency spectrum.
3Adaptability or versatility
If multiple sequences with varying separation times are performed to cover broader frequency ranges, then both high and low vibration frequencies can be accurately measured, but the complexity of the measurement system increases
Solution Approach 1:
The patent achieves multi-functionality by using the same radar transceiver and signal processing infrastructure to perform multiple acquisition sequences with different separation times. The system can selectively activate different sequences based on the vibration frequency range of interest, allowing a single system to handle both high-frequency and low-frequency vibration measurements without requiring separate dedicated systems for each frequency range.
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 method allows for accurate estimation of high-frequency vibrations while also enabling accurate monitoring of lower frequencies, improving the overall monitoring and diagnostics of targets by optimizing the separation time and number of data acquisition operations based on vibration behavior, with the use of CW or FMCW radar systems providing high accuracy in distance variation measurements.
Implementation Method 1
receiving, by the transceiver comprised in the vibration estimation system, an electromagnetic reflection signal resulting from reflection of the transmit signal at the target
Data Source
AI summary
A method of estimating vibration of a target, comprising performing a first sequence of a predefined first number of distance data acquisition operations, consecutive distance data acquisition operations being separated by a predefined first separation time period, each data acquisition operation resulting in a measurement data set, being a representation of the measurement signal, in a memory; accessing from the memory, the measurement data set for each distance data acquisition operation; determining a first sequence of distance variation values indicative of a variation over time of a distance between the vibration estimation system and the target, based on the measurement data set for each distance data acquisition operation of the first number of distance data acquisition operations; and estimating a first indicator of the vibration of the target based on the first sequence of distance variation values.