Statistics – Computation
Scientific paper
Jun 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.3985..250s&link_type=abstract
Proc. SPIE Vol. 3985, p. 250-260, Smart Structures and Materials 2000: Smart Structures and Integrated Systems, Norman M. Werele
Statistics
Computation
Scientific paper
This paper extends a synchronous averaging technique to incorporate the use of multiple sensors to extract the vibration signals associated with the planet gears of planetary geartrains. The use of multiple sensors mounted along the annulus gear of a planetary gearbox is shown to overcome four limitations of the existing single sensor methodology. First, the constraints on the gearbox geometry in determining whether the technique can be applied are reduced. Second the speed of computation of the technique is increased. Third, the robustness of the methodology to possible sensors failures is enhanced. Finally, susceptibility to noise that is synchronized with the rotation of the carrier is reduced. The methodology is applied to data collected from a miniature planetary transmission system with and without seeded faults. Results indicate that the multiple sensor methodology is able to separate the vibration signals associated with the planet gears in the presence of sensor noise and synchronized disturbances. In addition, the separated vibration signals are analyzed using the continuous wavelet transform to illustrate that planet gear faults can be easily detected after separation.
Pines Darryll J.
Samuel Paul D.
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