Digital Frequency Response Enhancement for Vibration Sensors
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Solution Overview
Problem
Existing vibration sensors face complexity and cost issues due to the need for costly analog components to analyze analog vibration signals, limiting their signal range and requiring expensive manufacturing, which hinders early detection and identification of machinery problems.
Innovation Solution
A vibration meter system that uses an analog-to-digital converter to convert attenuated vibration signals, followed by a digital frequency enhancement block with signal processing software to amplify and filter the signals using a digital high pass filter with a calculated roll-off slope, reducing the need for analog components and enhancing frequency response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If analog circuits are used to capture frequency response of vibration signals, then frequency response can be captured, but device complexity and manufacturing cost increase significantly
Solution Approach 1:
The patent replaces complex analog electronic circuits with a digital signal processing system. An analog-to-digital converter transforms the vibration signal into digital form, allowing frequency response enhancement through software-based filtering and processing algorithms rather than complex analog circuitry.
Solution Approach 2:
The patent changes the state of the vibration signal from analog to digital domain. By converting the signal early in the processing chain and applying digital filtering techniques, the system achieves frequency response enhancement without requiring complex analog components.
2Measurement precision
If costly analog components are used to manufacture vibration meter, then frequency response can be enhanced, but manufacturing cost increases
Solution Approach 1:
The patent substitutes expensive analog filtering and frequency enhancement components with affordable digital signal processing algorithms. Standard microcontrollers or processors can implement the required filtering and enhancement functions through software, dramatically reducing component costs.
Solution Approach 2:
The patent employs cost-effective digital processing components rather than expensive analog components. The use of software-based signal processing allows for the use of simpler, cheaper hardware platforms that can be manufactured at lower cost.
3Adaptability or versatility
If analog circuit is used to capture vibration signal, then signal can be processed, but signal range for analysis is limited
Solution Approach 1:
The patent transforms the vibration signal from analog to digital domain early in the processing chain. This conversion enables the use of software-based filtering and signal processing techniques that can easily adapt to different frequency ranges and signal characteristics without requiring hardware reconfiguration.
Solution Approach 2:
The digital signal processing approach provides universal functionality for analyzing vibration signals across different frequency ranges. The same hardware platform can process various types of vibration signals by simply changing the software filtering parameters, making the system highly adaptable.
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 simplifies the design, reduces noise floor, and improves signal-to-noise ratio, allowing for more reliable and cost-effective detection and identification of machinery issues by providing a uniform frequency response over a desired band, facilitating early detection and correction of mechanical problems.
Implementation Method 1
an analog-to-digital converter configured to convert an attenuated vibration signal to a converted signal
Implementation Method 2
The converted signal is amplified by amplifying time domain samples of the attenuated vibration signal to produce an amplified signal. The amplified signal is filtered to produce a filtered signal by a digital high pass filter with a calculated roll-off slope
Data Source
Figure 1A~1B
Figure 2
Figure 3
AI summary
Frequency compensation of a vibration sensor digitally in a time domain by using a high-pass filter roll-off slope is presented. The subject matter reduces the noise floor of an analog front end or analog domain portion of a circuit configured to enhance the frequency response of a vibration sensor. The present subject matter eliminates or reduces analog components and adds pieces of signal processing software to digitally enhance the frequency response of a vibration sensor so as to reduce component costs.