An integrated approach to helicopter planetary gear fault diagnosis and failure prognosis

This paper introduces the design of an integrated framework for on-board fault diagnosis and failure prognosis of a helicopter transmission component, and describes briefly its main modules. It suggests means to (1) validate statistically and pre-process sensor data (vibration), (2) integrate model-...

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Bibliographic Details
Main Authors: Patrick, R., Orchard, M.E., Bin Zhang, Koelemay, M.D., Kacprzynski, G.J., Ferri, A.A., Vachtsevanos, G.J.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Data mining
Deconvolution
Fault diagnosis
Feature extraction
Gears
Helicopters
Predictive models
Sensor phenomena and characterization
Vibration measurement
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Summary:This paper introduces the design of an integrated framework for on-board fault diagnosis and failure prognosis of a helicopter transmission component, and describes briefly its main modules. It suggests means to (1) validate statistically and pre-process sensor data (vibration), (2) integrate model-based diagnosis and prognosis, (3) extract useful features or condition indicators from data de-noised by blind deconvolution, and (4) combine Bayesian estimation algorithms and measurements to detect and identify the fault and predict remaining useful life with specified confidence and minimum false alarms.
ISSN:1088-7725
1558-4550
DOI:10.1109/AUTEST.2007.4374266