Applied to accelerometer data (or audio recordings) of rotating machinery, Sunics reveal aspects of the data which are hardly accessible via the time-waveform or spectrum. These include:

• localization of faults in time and phase
• slowly occuring changes (low frequency components)

Example (simulated data): sunic (bottom right) clearly illustrates how a strong impact (blue curve) changes its phase (vertical axis) over time (horizontal axis). This is difficult to see in the time-waveform (top) and missing in the spectrum (bottom left).	Example (simulated data): sunic (bottom right) clearly illustrates how the phase location of a misalignment slowly changes.

Sunics produce very detailed and distinctive patterns and thus allow a more detailed analysis of the vibration data than conventional methods.

Example: simulated data for beating and amplitude modulations illustrate how sunics produce more distinctive patterns (bottom right) compared to spectrum (bottom left) and time-waveform (top).

More Information New Methods In Vibration Analysis (presentation held at VANZ 2006).