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Blog Tektronix 3 Series MDO - Part 4: Flux Probe Signal Analysis
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  • Author Author: three-phase
  • Date Created: 7 Jan 2020 9:12 PM Date Created
  • Views 1661 views
  • Likes 10 likes
  • Comments 5 comments
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Tektronix 3 Series MDO - Part 4: Flux Probe Signal Analysis

three-phase
three-phase
7 Jan 2020

    • Introduction
    • Flux Probe Data Capture from a Generator
    • Off-site Analysis of Waveform
    • Playing the Signal back into the RFA-II Analyser
    • Conclusions

Introduction

 

In this blog I will utilise the 3 Series MDO to collect data from a Flux Probe or Air Gap Search Coil installed inside a generator and utilise the maths within the scope to carry out an analysis of the signal. This test again involves taking the 3 Series MDO out to a location as well as some bench work with a Flux Probe Analyser. I also aim to utilise the TekScope Anywhere software a little more.

 

Where as the previous blog looked at partial discharge data that represented the condition of the insulation in the high voltage stator winding, the Flux Probe looks at data that represents the condition of the insulation in the low voltage rotor winding, and specifically the insulation between each turn within the winding coils. This picture of a rotor rewind in progress, shows the parts of a rotor winding and the inter-turn insulation I am monitoring.

 

image

 

The Flux Probe is in actual fact a small inductive pickup installed on one of the stator wedges and picks-up the magnetic field of the rotor winding as it spins past. Each coil of the rotor winding induces a pulse into the Flux Probe, that is picked up by a bespoke analyser or an oscilloscope.

 

image

 

image

 

The amplitude of the pulse is a representation of the number of turns within that coil and should the insulation be damaged, then a smaller pulse will be observed for that coil.

As the rotor winding is made up of two identical halves, known as poles, a comparison of the pulses from one pole to the other should produce a match. If differences are seen, this is indicative of an inter-turn fault in the winding.

 

 

Flux Probe Data Capture from a Generator

 

The Flux Probe data is usually captured from a generator at the same time as capturing the partial discharge data, it is just another bit plugged into another sensor. Where as partial discharge data collection is slow and time consuming to analyse, Flux Probe data capture is done within seconds and the analysis is almost instant. The setup for the data capture can be seen below.

 

image

 

A closer picture of the signal on the screen.

 

image

 

The screen capture from the oscilloscope shows the peak to peak measurement applied to the waveform. This actually gives me an immediate problem as the 86 mV measured is too low of a signal for the RFA-II analyser to work correctly.

 

image

 

image

 

You can see in the bottom right corner, that the software is reporting that the signal is too low for analysis. The data table contains no detail, and you can see that the waveform on the plot does not fill up much of the plot. So this leaves it just with the 3 Series MDO to carry out the analysis. The analysis is carried out by subtracting the original waveform from a copy of that waveform that has been inverted and displaced by 10 ms.

 

The quick way to carry out a comparison on site, and the way I have achieved it with my other oscilloscopes, is to save the waveform into one of the reference channels and reconfigure to lay the signals over one another and carry out a visual comparison as seen in the screenshot below.

 

image

 

This is pretty messy and not that easy to analyse, so I wanted to take a look at the maths functions to see if I could carry out a better analysis without using my tired old eyes. To save doing this on site whilst I am collecting other data, the file captured is saved as a 'isf' file that can be recalled back onto the oscilloscope and also played back via the built-in waveform generator.

 

Off-site Analysis of Waveform

 

The first attempt at analysis was utilising the oscilloscope itself and playing the signal back into one of the channels. It was at this point that I realised I had only saved the signal out on site with a memory depth of 1 kpts. Whilst this gave me an acceptable screen on site, playback from the waveform generator was not good at all. Unperturbed by this slight gaff, I looked at the math functions available to carry out the analysis with.

 

image

 

The scope has a number of trigonometric functions built into it, but nothing I could figure out how to use to shift the waveform along by 10 ms or 180 degrees. The Picoscope software has a time delay function built into it that allows a waveform to be moved along the horizontal axis, but it would appear that the 3 Series MDO does not posses a comparable feature. The analysis on the Picoscope is shown below for comparison with the red line at the bottom the result of the maths carried out on the waveform. The signal can also be smoothed out in the Picoscope using the digital filters built in to it, something else the 3 Series MDO does not appear to have.

 

image

 

This takes me back to see if I can improve on the visual comparison of the waveforms. To improve the playback, I utilised some other Flux Probe signals I have captured a while back with a different oscilloscope.

 

image

 

The analysis starts out the same as before, by saving the signal into one of the reference channels. After inverting channel 1, I can then visually align the reference channel and channel 1 to obtain the visual comparison. A maths channel can then be added to subtract the reference channel from the channel 1. The signal is a little bit tricky to stabilise and I ended up setting the trigger to a pulse width trigger. If the channel is not stabilised and aligned with the reference, then the maths channel does not subtract the peaks as desired.

 

{gallery} Analysed Flux Signal

image

Flux Probe Signal on Channel 1 laid over Reference Channel

image

Maths analysis added at 100 mV/div

image

Maths analysis added at 500 mV/div


The maths channel added at the same voltage setting as the waveforms, shows quite a lot of noise and is difficult to interpret. A higher voltage setting can be used for the channel, that gives a clearer picture, but obviously would loose some resolution and cause smaller faults to be missed.

To see how this would work in practice, I modified one of the 'csv' files within Excel to create an apparent fault. The fault is circled in the Excel screenshot below. The peak was initially at -0.246 V and was taken down to -0.205 V. a difference of 41 mV or 16.675.

 

image

 

{gallery} Flux Probe Signal with Fault

image

Faulted Flux Probe Signal with Channels Overlain

image

Faulted Flux Probe Signal with Maths channel at same voltage

image

Faulted Flux Probe Signal with Maths at higher voltage

Visually, the difference in the signals on the peak furthest to the right is reasonably clear on the traces. The addition of the maths channel at the same voltage does provide a little verification and the effect of increase the voltage on the maths channel shows the resolution lost.

 

Playing the Signal back into the RFA-II Analyser

 

Analysis of the Flux Probe Signal was a little disappointing with the 3 Series MDO, so I hoped to utilise the waveform generator some more by playing the captured signals back into the RFA-II Flux Probe Analyser. The signal was fed straight into the RFA-II from the waveform generator and also fed into channel 1 of the oscilloscope for confirmation of the signal applied.

 

image

 

Analysis with the RFA-II is usually automatic, although a manual analysis to detect peaks is available and the option to change the level of attentuation. Initially, I tried to play back the first the signal from the data collection at 300 mVpp, which is the minimum voltage level required by the RFA-II, but this also failed to produce an analysis.

 

image

 

Increasing the voltage output eventually allows the RFA-II to detect the signal, but it still cannot determine the peaks and the waveform produced is a little erratic. I presume that this is due to the lower memory depth used for the signal collection, so I went back to the previous Flux Probe signals and in particular the one that I had added a fault to.

 

{gallery} RFA-II Analysis Fail

image

Peak detect fail message on RFA-II

image

Manual peak detect of waveform

image

RFA-II Analysis of Flux Probe Signal

 

You can see in the final screen shot that the Rotor Flux software is reporting quite large shorts on a number of tgh coils, which does not match the visual analysis on the oscilloscope. This is likely to be due to the methodology of playing back the signal via the waveform generator from the initial capture and I don't believe it is an actual issue with the oscilloscope.

 

The flux probe signal with the 16.67% fault added to it was next to be played back into the RFA-II. I payed this back at both 1 kpts and 10 kpts memory depth to get an idea of the differences. The RFA-II did pick up the faults played back by the oscilloscope although the results for the 1 kpts signal were closer to the 16.67% failure than the results for the 10 kpts signal.

 

{gallery} RFA-II analysis of fault

image

Faulted Flux Probe Signal at 1 kpts into RFA-II

image

Faulted Flux Probe Signal at 10 kpts into RFA-II

image

Signal quality for leading coils at 1 kpts

image

Signal quality for leading coils at 10 kpts

image

RFA-II Comparison of signals

 

Visually, the difference in the signal quality can be seen in the plots for the leading coils, with the 10 kpts signal, not surprisingly producing a smoother looking waveform. The RFA-II can also show the differences between different signals collected as seen in the last plot.

 

Conclusions

 

The oscilloscope can capture the data from a Flux Probe installed in a generator. Disappointingly, it did not offer the maths functionality that I would have liked to carry out the analysis of the waveform within the oscilloscope. Some analysis can be done, but it is a little tricky and time consuming and the results were not fantastic. Ultimately, the Picoscope offers better analysis due to the extra delay function and built in filters that the 3 Series MDO does not offer.

 

I could play back the signals into the RFA-II without any real issue. Pleasingly, the RFA-II did respond to faults deliberately put into the signal. Modification of this signal within Excel was much easier than partial discharge signals. Whilst the waveform generator struggles with some waveforms due to its relatively low number of points, as long as the rotor flux signal is recorded with enough detail in the first place, it can successfully play it back.

 

It would be good at some point to return to the site and take a recording of the flux probe signal with an amplifier and using a higher memory depth and repeat the playback into the RFA-II to see if the results are more consistent with the traces on the oscilloscope. Unfortunately, work constraints probably won't allow for this within the roadtest period.

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Top Comments

  • three-phase
    three-phase over 5 years ago in reply to gpolder +3
    Hello Gerrit, I have recaptured the flux probe signal with a fault in averaging mode with 16 and then 256 averages - I did mess up the 256 averages though as I didn't wait long enough to save the screen…
  • three-phase
    three-phase over 5 years ago in reply to gpolder +2
    Thanks Gerrit, Average acquisition mode could be worth taking a look at it. I would need to have a think about how it may affect the actual analysis of the waveform peaks and the impact that would have…
  • gpolder
    gpolder over 5 years ago +1
    Hi Donald, thanks for the interesting description of your experiment, this field is completely new to me. regarding: The signal can also be smoothed out in the Picoscope using the digital filters built…
  • three-phase
    three-phase over 5 years ago in reply to genebren

    Many thanks Gene

     

    Kind regards

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  • three-phase
    three-phase over 5 years ago in reply to gpolder

    Hello Gerrit,

     

    I have recaptured the flux probe signal with a fault in averaging mode with 16 and then 256 averages - I did mess up the 256 averages though as I didn't wait long enough to save the screen capture.

     

    Looks to be a little clearer than just sample acquisition but not much difference between number of averages

     

    Original signal in sample acquisition mode -

    image

     

    Signal in 16 averages acquisition mode -

    image

     

    Signal in 256 average acquisition mode -

    image

     

    Intriguingly, whilst testing, I accidentally turned off the reference channel but the maths channel carried on calculating

    image

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  • genebren
    genebren over 5 years ago

    Donald,

     

    Another great installment in your roadtest review.  As is typically your style, you have really dug in deep into the operation of your scope and given us a lot to think about.  Good luck on your continued progress through this roadtest.

     

    Gene

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  • three-phase
    three-phase over 5 years ago in reply to gpolder

    Thanks Gerrit,

     

    Average acquisition mode could be worth taking a look at it. I would need to have a think about how it may affect the actual analysis of the waveform peaks and the impact that would have on any potential inter-turn fault indication.

     

    The professional apparatus I have come across that does the analysis automatically all use filtering, I am not aware of any that use averaging acquisition. That may of course be due to cost and simplicity of design rather than impact on the analysis. Won't hurt to try out on the signals already captured though.

     

    Kind regards

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  • gpolder
    gpolder over 5 years ago

    Hi Donald,

     

    thanks for the interesting description of your experiment, this field is completely new to me.

     

    regarding:

    The signal can also be smoothed out in the Picoscope using the digital filters built in to it, something else the 3 Series MDO does not appear to have.

     

    What about 'Average acquisition mode', in which a user selectable number of samples can be averaged to reduce random noise?

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