Novel adaptation of the demodulation technology for gear damage detection to variable amplitudes of mesh harmonics

In this paper, a novel adaptive demodulation technique including a new diagnostic feature is proposed for gear diagnosis in conditions of variable amplitudes of the mesh harmonics. This vibration technique employs the time synchronous average (TSA) of vibration signals. The new adaptive diagnostic feature is defined as the ratio of the sum of the sideband components of the envelope spectrum of a mesh harmonic to the measured power of the mesh harmonic. The proposed adaptation of the technique is justified theoretically and experimentally by the high level of the positive covariance between amplitudes of the mesh harmonics and the sidebands in conditions of variable amplitudes of the mesh harmonics. It is shown that the adaptive demodulation technique preserves effectiveness of local fault detection of gears operating in conditions of variable mesh amplitudes.

[1]  P. McFadden Examination of a technique for the early detection of failure in gears by signal processing of the time domain average of the meshing vibration , 1987 .

[2]  V. Kovalevsky Image Pattern Recognition , 1980, Springer New York.

[3]  P. D. McFadden,et al.  Detecting Fatigue Cracks in Gears by Amplitude and Phase Demodulation of the Meshing Vibration , 1986 .

[4]  C. James Li,et al.  Estimation of gear tooth transverse crack size from vibration by fusing selected gear condition indices , 2006 .

[5]  Leonid M. Gelman,et al.  Adaptive vibration condition monitoring technology for local tooth damage in gearboxes , 2005 .

[6]  Giorgio Dalpiaz,et al.  Effectiveness and Sensitivity of Vibration Processing Techniques for Local Fault Detection in Gears , 2000 .

[7]  P. D. McFadden,et al.  Determining the location of a fatigue crack in a gear from the phase of the change in the meshing vibration , 1988 .

[8]  M. Degroot Optimal Statistical Decisions , 1970 .

[9]  M. Farid Golnaraghi,et al.  Assessment of Gear Damage Monitoring Techniques Using Vibration Measurements , 2001 .

[10]  G. Krishnappa,et al.  GEAR FAULT DETECTION PARAMETERS DEVELOPMENT BASED ON MODULATION TECHNIQUES , 1997 .

[11]  J. Ma,et al.  GEAR DEFECT DETECTION THROUGH MODEL-BASED WIDEBAND DEMODULATION OF VIBRATIONS , 1996 .

[12]  Andrew R. Webb,et al.  Statistical Pattern Recognition , 1999 .

[13]  David Brie,et al.  GEAR CRACK DETECTION BY ADAPTIVE AMPLITUDE AND PHASE DEMODULATION , 1997 .

[14]  Robert B. Randall,et al.  A New Method of Modeling Gear Faults , 1982 .

[15]  A. Braun,et al.  The Extraction of Periodic Waveforms by Time Domain Averaging , 1975 .

[16]  P. D. McFadden,et al.  Effect of transmission path on measured gear vibration , 1986 .