Engineering How to Combine Signals for High Dynamic Range?

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Combining signals from different sensors can achieve high dynamic range measurements by strategically using a closed-loop converter for low frequencies and a Rogowski belt for high frequencies. Implementing low-pass and high-pass filters allows for effective signal addition, ensuring that each sensor contributes optimally to the final output. A complementary filter is recommended for a straightforward approach to merge the two signals while preserving their accuracy across frequency ranges. This method enhances the overall measurement quality by leveraging the strengths of both sensors. Effective signal combination techniques are crucial for projects requiring precise dynamic range measurements.
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hello I am working on a project concerning a measurement technique which consists of adding two signals from different sensors in order to obtain a signal with very high dynamics. and I would like you to help me because I saw your interventions concerning this system. I don't know yet if this is the hoka principle that I should use to add the two signals
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hello I am working on a project concerning a measurement technique which consists of adding two signals from different sensors in order to obtain a signal with very high dynamics. and I would like you to help me because I saw your interventions concerning this system. I don't know yet if this is the hoka principle that I should use to add the two signals
Combination of the measurement principles
If the closed-loop converter and the Rogowski belt are combined, the two measurement signals must be added in such a way that the signal from the closed-loop converter is used at low frequencies. At higher frequencies, the measurement signal from the Rogowski belt should be used. According to Figure 4, a low-pass filter and a high-pass filter must be used for this. A current measurement signal with high dynamics can then be generated by summation
 

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For a simple way to combine two signals, one with good low frequency accuracy and one with good high frequency accuracy, you should consider the complimentary filter. It combines the two, keeping the best of each.
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I have a question that I couldn’t fully understand its logic. The professor asked us to calculate the shear resistance and moment about the X and Y axis, using the given cross-section and the values of compressive and tensile stresses. I understand how to get the moment, but I’m confused about how to find the shear resistance from these stresses. Could you explain or clarify the method?

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