Effectiveness of Empirical Mode Decomposition Based Features Compared to Kurtosis Based Features for Diagnosis of Pinion Crack Detection in a Helicopter

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Published Oct 10, 2010
Canh Ly Kenneth Ranney Kwok Tom Hiralal Khatri Harry Decker

Abstract

Features based on empirical mode decomposition (EMD) of measured vibration data were developed for a Bell OH-58 helicopter main rotor gearbox. A tooth on the input pinion of the gearbox was notched and run for an extended period at several over-torque conditions to induce a tooth fracture. Vibration data were recorded at regular intervals until a tooth fractured. The EMD features were found to be more sensitive to the gearbox condition than the kurtosis-based feature (FM4), and they diagnosed the onset of cracked tooth much earlier.

How to Cite

Ly, C. ., Ranney, K. ., Tom, K. ., Khatri, H. ., & Decker, H. . (2010). Effectiveness of Empirical Mode Decomposition Based Features Compared to Kurtosis Based Features for Diagnosis of Pinion Crack Detection in a Helicopter. Annual Conference of the PHM Society, 2(1). https://doi.org/10.36001/phmconf.2010.v2i1.1796
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Keywords

EMD, Kurtosis, Time Synchronous Averaging (TSA), Empirical Mode Decomposition

References
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Section
Technical Research Papers