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What is Gear Fault Diagnosis Using AR Modeling about?

This paper introduces an autoregressive (AR) model-based technique for diagnosing gear faults in helicopter transmissions by analyzing vibration signals. The method utilizes signal averaging to create a model of healthy gear vibrations, which is then used to filter future signals and identify deviations indicative of faults. Validation through simulations and experiments demonstrates the effectiveness of this approach for in-flight diagnosis of gear health.

Author

Joseph Paskalis

Language

EN