Any tutorials for analysis, acquisition, PROTOR etc

Example of performing a Moving Average

This tutorial guides a DATS user through the steps required to perform a moving average on a given signal. The tutorial explains the concept of the ‘Integration Length’ and the ‘Output Interval Step’.

Initially a signal is required to perform the moving average on. In this tutorial a sine wave will be generated. A sine wave is generated using the parameters shown in Figure 1.

Parameters for creating a sine wave
Figure 1 : Parameters for creating a sine wave

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Creating Order Plots Using The DATS Rotating Machinery Software

In this tutorial we will be creating order plots using waterfall and intensity displays using use the DATS.toolbox and Rotating Machinery Analysis option.

To begin, a noise, vibration or other signal of interest should be captured along with a tachometer signal.

In Figure 1 we have loaded a time series (in this case an acceleration signal) and a time series of a tachometer pulse train into the DATS software.

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What is waterfall frequency spacing? And how does the DATS parameter ‘Requested Frequency Spacing’ work?

Let us try to understand what waterfall frequency spacing is. Waterfall frequency spacing is the gap between spectral lines in an FFT plot.

For example, if you had an analysis frequency of 0Hz to 100Hz and 100 spectral lines, then Frequency Spacing is 1Hz.

So why is there a ‘Requested Frequency Spacing’ and an ‘Actual Frequency Spacing’? (more…)

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What is “waterfall smearing”?

When analysing a waterfall or performing order analysis it is important to consider the frequency resolution or the frequency spacing.

There is often a desire to increase the resolution to finer and finer detail. But that is a process of diminishing returns, and actually fraught with danger. And that danger is waterfall smearing. (more…)

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What engineering decisions are made by measuring a power spectrum?

By power spectrum we are talking about an ASD (Auto Spectral Density) or PSD (Power Spectral Density). In fact PSD is often used when really ASD would be more correct.

Taking any signal and performing a frequency analysis using an ASD or a PSD will give the energy over a range of frequencies. (more…)

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What is Auto Spectral Density?

The Auto Spectral Density or Auto RMS spectrum analyses uses Fourier Transforms to process optionally overlapped sections of the input data. The result of each Fourier analysed section is called a periodogram. We then process all the resulting periodograms to produce a spectral result. (more…)

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Exporting DATS datasets in non-linear format

The following tutorial shows in detail how to use Prosig DATS to export data in a non-linear format.

DATS stores all data in linear format. When you export data you are exporting the raw stored data. Therefore, to export data in a non-linear fashion we must convert the data to non-linear scale (dB for our example) and then export to the desired format, in this case CSV. (more…)

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