Material Testing Machine Filter Adjustment
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Solution Overview
Problem
In material testing machines, operators face a burden in adjusting the frequency characteristics of filters, such as low-pass filters, to balance noise removal and signal responsiveness, as changing materials or test setups requires frequent adjustments.
Innovation Solution
A material testing machine equipped with a processing filter and an adjustment unit that automatically adjusts the frequency characteristics of the filter based on the difference between output signals from multiple low-pass filters, allowing for optimal noise removal and responsiveness without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cutoff frequency of the low-pass filter is lowered, then the noise component can be sufficiently removed, but the responsiveness of the detection signal is deteriorated
Solution Approach 1:
The patent applies dynamics by making the filter's frequency characteristic adjustable rather than fixed. The adjustment unit dynamically changes the cutoff frequency based on the specific test conditions, material properties, and noise characteristics, allowing the system to adapt between noise removal and responsiveness requirements in real-time.
Solution Approach 2:
The patent changes the parameter of cutoff frequency dynamically. By adjusting this key parameter based on detected noise levels and signal characteristics, the system can optimize the balance between removing noise components and maintaining signal responsiveness for different testing scenarios.
2Speed
If the cutoff frequency of the low-pass filter is increased, then the responsiveness of the detection signal is improved, but the noise component may not be sufficiently removed
Solution Approach 1:
The system dynamically adjusts the cutoff frequency parameter based on real-time analysis of noise characteristics and signal requirements. This allows the filter to adapt its behavior, switching between high cutoff frequencies for responsiveness and low cutoff frequencies for noise removal as needed.
Solution Approach 2:
The patent implements parameter changes by modifying the cutoff frequency value based on detected test conditions. The adjustment unit analyzes the detection signal and changes the filter parameter accordingly, optimizing the balance between noise removal and responsiveness for each specific testing scenario.
3Reliability
If the frequency characteristics of the filter are adjusted manually for each test condition, then optimal noise removal and responsiveness are achieved, but the operator's burden increases
Solution Approach 1:
The patent applies self-service by implementing an automatic adjustment mechanism that performs filter optimization without operator intervention. The adjustment unit autonomously analyzes detection signals, identifies noise characteristics, and automatically modifies filter parameters to achieve optimal performance for each test condition.
Solution Approach 2:
The system uses feedback from the detection signal to automatically adjust the filter characteristics. The adjustment unit continuously monitors the output signal, analyzes noise levels and signal quality, and modifies the cutoff frequency accordingly, creating a closed-loop control system that eliminates manual adjustment requirements.
Data Source
AI summary
The disclosure provides a tensile testing machine and includes: a processing filter that removes a noise component included in a test force measurement signal output from a load cell; and an adjustment unit that adjusts a frequency characteristic of the processing filter. The adjustment unit receives a detection signal output from the sensor, and adjusts the frequency characteristic of the processing filter on a basis of a difference between output signals of two low-pass filters having different frequency characteristics.