Vibration Cycle Estimation via Multi-Path Signal Selection
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Solution Overview
Problem
Existing vibration estimation technologies, such as those described in JP 2006-263032A and JP 2014-014708A, face challenges in accurately extracting fine fluctuations in vibration waveforms due to low-pass filtering and noise interference, leading to inaccurate cycle estimation.
Innovation Solution
The proposed solution involves a vibration state estimation device that converts beat signals into one-dimensional candidate signals using eigenvector projection and temporal change analysis, allowing for the selection and weighting of signals to accurately represent vibration waveforms, thereby enhancing cycle estimation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a low-pass filter is applied to decrease fine fluctuation in vibration waveform, then noise is reduced, but the waveform of vibration including fine fluctuation is not extracted accurately and cycle estimation becomes inaccurate
Solution Approach 1:
The patent segments the vibration signal processing into multiple independent candidate signal extraction paths. Instead of applying a single low-pass filter that removes fine fluctuations, the system extracts multiple candidate signals with different characteristics (including signals that preserve fine fluctuations) and selects the most appropriate one for cycle estimation, thereby maintaining measurement precision while achieving noise reduction through selective filtering.
Solution Approach 2:
The patent changes the processing parameters by extracting multiple candidate signals with different filtering characteristics rather than using a fixed low-pass filter. The system dynamically adjusts the effective filtering parameters by selecting from multiple candidate signals based on their suitability for the current vibration conditions, thus preserving fine fluctuations when necessary while still reducing noise when appropriate.
2Adaptability or versatility
If noise is superposed on IQ signal or vibration is generated continuously in a seamless manner, then signal processing becomes more challenging, but vibration stop interval that breaks cycle of vibration is less likely to be detected making cycle estimation difficult
Solution Approach 1:
The patent implements dynamic signal selection by continuously evaluating multiple candidate signals and selecting the most appropriate one based on current vibration conditions. This dynamic approach allows the system to adapt to continuously generated vibrations and noise-superposed signals, detecting vibration stop intervals and breaking points more effectively than static processing methods, thereby maintaining cycle detection accuracy under varying conditions.
Solution Approach 2:
The system employs feedback mechanisms by evaluating the quality and characteristics of multiple candidate signals and selecting the optimal one for cycle estimation. This feedback-driven selection process enables the system to automatically adapt to changing vibration conditions, including continuous seamless vibrations and noise-superposed signals, improving both adaptability and measurement precision.
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 effectively extracts and estimates the cycle of vibrations, including fine fluctuations, by selecting the most accurate candidate signals based on feature values and phase adjustments, resulting in improved accuracy and robustness against noise and continuous motion.
Implementation Method 1
a beat signal acquiring unit that acquires a beat signal output from a Doppler sensor
Data Source
AI summary
An estimation device includes a first converting unit configured to convert a beat signal to a one-dimensional first candidate signal on the basis of a two-dimensional distribution of the beat signal, a second converting unit configured to convert the beat signal to a one-dimensional second candidate signal on the basis of a two-dimensional position change of the beat signal, and a signal deciding unit configured to decide a one-dimensional signal on the basis of the first candidate signal and the second candidate signal.