Abstract: Systems and methods for identifying the presence of a defect in vibrating machinery. An exemplary method comprises analysis of frequency spectrum vibration data of the machine. The method comprises deriving a harmonic activity index based on estimates of the energy associated with the frequency spectrum and the energy associated with the defect's harmonic series. The method may comprise deriving a value K by estimating a value M indicative of the energy of the defect's harmonic series and dividing M by the number of spectral lines corresponding to the defect's harmonic series. The method may further comprise deriving a value R by estimating a value Q indicative of the energy in the frequency spectrum data and dividing Q by the number of spectral lines of the frequency spectrum data. The method further comprises deriving the harmonic activity index based on the estimated K and R. Related systems for executing the methods are also disclosed.

Abstract: Systems and methods for identifying the presence of a defect in vibrating machinery. An exemplary method comprises analysis of frequency spectrum vibration data of the machine. The method comprises deriving a harmonic activity index based on estimates of the energy associated with the frequency spectrum and the energy associated with the defect's harmonic series. The method may comprise deriving a value K by estimating a value M indicative of the energy of the defect's harmonic series and dividing M by the number of spectral lines corresponding to the defect's harmonic series. The method may further comprise deriving a value R by estimating a value Q indicative of the energy in the frequency spectrum data and dividing Q by the number of spectral lines of the frequency spectrum data. The method further comprises deriving the harmonic activity index based on the estimated K and R. Related systems for executing the methods are also disclosed.