Failure frequency matching of periodic peaks in spectral machine data

A computer-implemented method analyzes cycle information in digital vibration data associated with a machine. The method involves generating a spectral period information map (PIP) based on the digital vibration data, and locating amplitude peaks in the PIP at frequencies associated with a fundamental frequency of interest. Peaks occurring at the fundamental fault frequency and the associated harmonic frequency are removed from the PIP while preserving energy values associated with the removed peaks. The remaining peaks in the PIP are classified as synchronous periodic peaks and asynchronous periodic peaks. Residual peaks in the PIP are graphically rendered on a display device in different colors or different line patterns along with the fault frequency and associated harmonic frequencies to identify different frequency groups of interest. The method implements an algorithm that locates peaks in the PIP at frequencies associated with the fundamental frequency of interest even if the located peak frequency doe