Data Quality Issues

💡 We are currently improving the Data Quality features. Watch this space for future improvements.

For vibration analysis to be reliable, the input data must be clean and undistorted. MultiViz automatically detects four types of data quality issues that can compromise analysis accuracy. These issues typically affect the frequency spectrum and may be caused by configuration problems or sensor faults.

Below is a list of these potential faults identified by MultiViz, along with their appearance in MultiViz and the possible causes, and a first step in how to fix them.

Ski slope

Appearance: A measurement-quality check on velocity spectra automatically flags the characteristic "ski slope" shape — a tall low-frequency hump that rolls off into the rest of the band.

Possible causes: This pattern typically points to a corrupted measurement or a sensor mounting issue, rather than a real machine fault.

First step: Treat findings on this measurement with caution. Check the sensor mounting or re-take the measurement before investigating further — this keeps you focused on trustworthy data instead of chasing a phantom problem.

More data quality issue types are on the way — check back here as we continue to expand this list.