A simple frequency-domain algorithm for early detection of damaged gear teeth

Fixed transducers often are used to monitor meshing gear pairs in order to detect tooth damage. A simple frequency-domain damage-detection algorithm is suggested for very early detection of such damage. Ratios of rotational-harmonic amplitudes computed from before and after potential damage are utilized to eliminate effects of transducer and structural-path-caused amplitude changes between tooth-meshing location and transducer output, to minimize attenuating effects of multiple-tooth contact, and thereby, to approximately equally weight rotational-harmonic amplitudes over a wide range of harmonics. Statistical averaging of absolute values of logarithmic ratios of rotational-harmonic amplitudes is used to minimize fluctuations caused by multiple-tooth contact and manufacturing errors on the subject gear. Synchronous averaging is employed to minimize effects of noise and manufacturing errors on the mating gear. Time-windowing tailored to contact ratios of mating gears is utilized to isolate individual tooth locations. Resultant windowing effects on availability of useful rotational harmonics are analyzed. Application of the algorithm to detection of seeded bending-fatigue faults on a planetary ring-gear tooth indicates that successful detections were achieved.

[1]  William D. Mark,et al.  Static-transmission-error vibratory-excitation contributions from plastically deformed gear teeth caused by tooth bending-fatigue damage , 2007 .

[2]  P. S. Heyns,et al.  USING VIBRATION MONITORING FOR LOCAL FAULT DETECTION ON GEARS OPERATING UNDER FLUCTUATING LOAD CONDITIONS , 2002 .

[3]  Raymond J. Drago,et al.  Fundamentals of gear design , 1988 .

[4]  Cécile Capdessus,et al.  CYCLOSTATIONARY PROCESSES: APPLICATION IN GEAR FAULTS EARLY DIAGNOSIS , 2000 .

[5]  Jérôme Antoni,et al.  Indicators of cyclostationarity: Theory and application to gear fault monitoring , 2008 .

[6]  P. D. McFadden,et al.  APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION , 1996 .

[7]  Ian Howard,et al.  Comparison of localised spalling and crack damage from dynamic modelling of spur gear vibrations , 2006 .

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

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

[10]  Wieslaw J. Staszewski,et al.  LOCAL TOOTH FAULT DETECTION IN GEARBOXES USING A MOVING WINDOW PROCEDURE , 1997 .

[11]  C. James Li,et al.  Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics , 2005 .

[12]  P. Lewis,et al.  The finite Fourier transform , 1969 .

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

[14]  William D. Mark,et al.  Stationary transducer response to planetary-gear vibration excitation with non-uniform planet loading , 2009 .

[15]  William D. Mark,et al.  Assessing the role of plastic deformation in gear-health monitoring by precision measurement of failed gears , 2007 .

[16]  W D Mark The Role of the Discrete Fourier Transform in the Contribution to Gear Transmission Error Spectra from Tooth-Spacing Errors , 1987 .

[17]  M. Zuo,et al.  Gearbox fault detection using Hilbert and wavelet packet transform , 2006 .

[18]  W. D. Mark Analysis of the vibratory excitation of gear systems: Basic theory , 1978 .

[19]  P D McFadden,et al.  An Explanation for the Asymmetry of the Modulation Sidebands about the Tooth Meshing Frequency in Epicyclic Gear Vibration , 1985 .

[20]  Mir Mohammad Ettefagh,et al.  Asynchronous input gear damage diagnosis using time averaging and wavelet filtering , 2008 .

[21]  B. B. Seth,et al.  On the extraction and filtering of signals acquired from rotating machines , 1979 .

[22]  W. D. Mark Spectral analysis of the convolution and filtering of non-stationary stochastic processes , 1970 .

[23]  Granino A. Korn,et al.  Mathematical handbook for scientists and engineers , 1961 .

[24]  W. D. Mark Analysis of the vibratory excitation of gear systems. II - Tooth error representations, approximations, and application , 1979 .

[25]  Jao-Hwa Kuang,et al.  THEORETICAL ASPECTS OF TORQUE RESPONSES IN SPUR GEARING DUE TO MESH STIFFNESS VARIATION , 2003 .

[26]  S. L. Harris,et al.  Dynamic Loads on the Teeth of Spur Gears , 1958 .

[27]  Leon Cohen,et al.  CONDITIONAL MOMENTS ANALYSIS OF TRANSIENTS WITH APPLICATION TO HELICOPTER FAULT DATA , 2000 .

[28]  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 .

[29]  Naim Baydar,et al.  A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution. , 2001 .

[30]  Jože Flašker,et al.  Method for detecting fatigue crack in gears , 2006 .

[31]  P. D. McFadden,et al.  A Signal Processing Technique for Detecting Local Defects in a Gear from the Signal Average of the Vibration , 1985 .