TITLE:
Diagnosis on Surface Failure in Gear Equipment Using Time - Frequency Domain Analysis
AUTHORS:
Yuji Ohue, Toshiya Kounou, Katsuhiko Yazama
KEYWORDS:
Natural Asset, Financial Value, Neural Network
JOURNAL NAME:
Engineering,
Vol.3 No.8,
August
12,
2011
ABSTRACT: In order to make more progress in the gear performance, it is important to evaluate the gear dynamics more precisely, since gear is a main machine element in motion and power transmissions. For preventing the unexpected failure in mechanical systems, a large amount of work has been carried out based on a statistical model developed by Lundberg and Palmgren [1] with reliability models using the classical fatigue theory. However, most of these works did not consider the operating conditions of machine during the fatigue process.