Gear fault diagnosis via non-stationary adaptive MARTIN distance

Author:

Ettefagh M.M.,Sadeghi M.H.

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. Parametric time-domain methods for non-stationary random vibration modelling and analysis—a critical survey and comparison;Poulimenos;Journal of Mechanical Systems and Signal Processing,2006

2. Autoregressive model-based gear fault diagnosis;Wang;Journal of Vibration and Acoustics,2002

3. Elyureh, M. “Establishing a vibration thresholds value, which ensures a negligible false alarm rate for each gear in CH-53 aircraft using the operational data”, M.S. Thesis, Turkish Naval Academy, Department of Operations Research, Turkey (2003).

4. Model-based condition index for tracking gear wear and fatigue damage;James;Wear Journal,2000

5. A comparison of autoregressive modeling technique for fault diagnosis of rolling element bearing;Baillie;Mechanical Systems and Signal Processing,1996

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