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Bumped by Community user
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Added display of Signal
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Mehdi
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I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
The signal in display has been smoothed usingthis is the Savitzky golay filter, with a window of 51Normal Signal plot .
  [![enter image description here][1]][1]


The signal in display(20mm/s) has been smoothed using the Savitzky golay filter, with a window of 51.
enter image description here


I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
The signal in display has been smoothed using the Savitzky golay filter, with a window of 51.
[![enter image description here][1]][1]

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
this is the Normal Signal plot .
  [![enter image description here][1]][1]


The signal in display(20mm/s) has been smoothed using the Savitzky golay filter, with a window of 51.
enter image description here

Added display of Signal
Source Link
Mehdi
  • 77
  • 1
  • 2
  • 7

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
I apologize forThe signal in display has been smoothed using the image qualitySavitzky golay filter, the y axis is the Motor current I and the x axis is the position with a window of 51.
[![enter image description here][1]][1]

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
I apologize for the image quality, the y axis is the Motor current I and the x axis is the position [![enter image description here][1]][1]

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
The signal in display has been smoothed using the Savitzky golay filter, with a window of 51.
[![enter image description here][1]][1]
Added display of Signal
Source Link
Mehdi
  • 77
  • 1
  • 2
  • 7

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
I apologize for the image quality, the y axis is the Motor current I and the x axis is the position [![enter image description here][1]][1]

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.

I have a signal, in which i want to detect the period of the peaks, that exist within this signal: for example : After each 5mm or (5 seconds depending on the sampling rate and speed of my motor) i have a peak in my motor current.
I though of using the FFT, but then i had some problems with the sampling rate which lead me to look for the ununiform fft, but i wasnt very successfull.
I also tried using the Savitzky golay filter to smooth the data, since i read that it actually helps finding peaks within the signal, but not the period.
I tried appliying the FFT to the smoothed data, but I wasn't able to find any frequence.
So i was wondering is there is an algorithm that detects the periodicity of peaks within a signal.
I apologize for the image quality, the y axis is the Motor current I and the x axis is the position [![enter image description here][1]][1]
Source Link
Mehdi
  • 77
  • 1
  • 2
  • 7
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