Finding “Unknown” Waveform Anomalies

Figure 1: Width “exclusion” trigger captures
pulse widths outside the range of 980 ns to 1 µs.
The first anomaly captured is a width of 2.99 µs.

Using SmartTriggers® and statistics to find waveform anomalies is easy if you know the characteristics of the anomaly, but how do you find intermittent, anomalous events when you don’t know what you’re looking for? The answer: start with what you do know!  

Look for What’s “Not Normal”

A simple approach is to measure the nominal waveform, then trigger the oscilloscope on waveform elements that differ from nominal. Figure 1 shows a 500 kHz square wave with a roughly 50% duty cycle, so the pulse width is normally about 1 µs (the Width measurement shows a mean of 997 ns). This nominal width does not change significantly with any regularity and gives us a basis on which to begin looking for anomalies.

Getting The Most Out Of Your Oscilloscope: WaveScan and XDEV Custom Parameters

Figure 1: Using WaveScan to search
for rare glitch events

In earlier posts about how to maximize your oscilloscope's utility, we've discussed how to properly capture a waveform, making measurements, and extracting more meaningful information from those measurements that might be readily apparent. Now we'll look at how to correlate anomalous behavior from a waveform with other waveforms we may have captured.

The Periodic Table of Oscilloscope Tools: Analyze (Part I)

Figure 1: Analysis tools deepen
insight into waveform behavior
and relationships

The path from problem to solution via oscilloscope moves through a number of stages. Doing so involves capture of a signal, determining how it's to be viewed, taking measurements of various parameters, and possibly applying math functions to the waveform. All of these stages depend on the roster of tools that the oscilloscope brings to bear on the process. Teledyne LeCroy's Periodic Table of Oscilloscope Tools represents our view of the world of such tools.