Pressure Signal Processing: Integration, Differentiation, RMS, Smoothing

In summary, The conversation discusses different methods for processing a pressure signal, including using a small volume vessel and a small pipe as an analogue for a capacitor and resistance, respectively. It is suggested to research integrating, differentiating, and filtering circuits to build an analogue for signal processing. Another option is to convert the pressure into voltage and use traditional signal processing tools. It is also mentioned that increasing the time between data samples can help smooth out the data, and that there are software options available as well.
  • #1
manpanho
1
0
I want to ask how to process a pressure signal so that the signals can be smoothed / linearized, e.g. integrate, differentiate, rms, additive smoothing?
 
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  • #2
You mean a signal expressed as presure?
Just an idea, don't know if it is sensible:
I would use a small volume vessel with a very small hole against the pressure as an analogue of capacitor against voltage. Resistance against flow would be a small pipe.
I would look up the circuitry for integrating, differentiating and filter circuits, and build the analogue.

However it would be much easier and punctual to convert the pressure into voltage, and use the usual signal processing tools.
 
  • #3
I am assuming you are using a "standard" kind of signal conditioning on the pressure transducer to begin with and you just want a way to post process the data. Probably the easiest method is to simply increase the time between data samples. That will go a long way towards smoothing your data out. If your signal is really noisy, you may want to look at how you have your DAQ wired because you may be getting noise in your signal, i.e. use a twisted/shielded pair for wiring, etc...

Then, there is always the software route like this:
http://www.mathworks.com/products/daq/
 

1. What is pressure signal processing?

Pressure signal processing is the manipulation and analysis of signals that are generated by pressure sensors or transducers. This involves techniques such as integration, differentiation, root mean square (RMS) calculations, and smoothing to extract useful information from the raw signal.

2. What is integration in pressure signal processing?

Integration in pressure signal processing is the mathematical operation of calculating the area under a signal curve over a specific time interval. This is commonly used to calculate the total volume or mass of a substance based on pressure readings.

3. What is differentiation in pressure signal processing?

Differentiation in pressure signal processing is the mathematical operation of calculating the slope or rate of change of a signal over time. This can provide information about the acceleration or velocity of a fluid or gas based on pressure measurements.

4. What is RMS in pressure signal processing?

RMS, or root mean square, in pressure signal processing is a measure of the average power of a signal. It is calculated by taking the square root of the average of the squared values of a signal over a specific time interval. This is useful for determining the intensity or strength of a pressure signal.

5. How does smoothing work in pressure signal processing?

Smoothing in pressure signal processing is a technique used to reduce noise or fluctuations in a signal. This is achieved by averaging multiple data points within a certain window or by applying a mathematical filter to the signal. Smoothing can improve the accuracy and reliability of pressure measurements.

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