Detecting Fatigue Cracks in Gears by Amplitude and Phase Demodulation of the Meshing Vibration

1986 ◽  
Vol 108 (2) ◽  
pp. 165-170 ◽  
Author(s):  
P. D. McFadden
Keyword(s):  
Signal Processing ◽  
Early Detection ◽  
Digital Signal Processing ◽  
Phase Modulation ◽  
Fatigue Cracks ◽  
Digital Signal ◽  
Processing Technique ◽  
Signal Processing Technique ◽  
Signal Average ◽  
Local Defects

A digital signal processing technique is proposed for calculating the amplitude and phase modulation of the tooth meshing vibration of a gear from the signal average of the vibration with application to the early detection of local defects such as fatigue cracks. The importance of phase modulation in the detection of defects is confirmed.

A Signal Processing Technique for Detecting Local Defects in a Gear from the Signal Average of the Vibration

1985 ◽  
Vol 199 (4) ◽  
pp. 287-292 ◽  
Author(s):  
P D McFadden ◽  
J D Smith
Keyword(s):  
Signal Processing ◽  
Fatigue Crack ◽  
Early Detection ◽  
Phase Modulation ◽  
Fatigue Cracks ◽  
Digital Signal ◽  
Processing Technique ◽  
Signal Processing Technique ◽  
Signal Average ◽  
Local Defects

An approximate digital signal processing technique is presented which can assist in the early detection of local defects such as fatigue cracks in gears by enhancing the changes which these defects produce in the signal average of the vibration of the gear. The technique is demonstrated by the identification of an early fatigue crack in a helicopter gear. The importance of phase modulation in the detection of defects is indicated.

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