Proceedings ArticleDOI
An integrated approach to helicopter planetary gear fault diagnosis and failure prognosis
Romano Patrick,Marcos E. Orchard,Bin Zhang,M.D. Koelemay,Gregory J. Kacprzynski,Aldo A. Ferri,George Vachtsevanos +6 more
- pp 547-552
TLDR
The design of an integrated framework for on-board fault diagnosis and failure prognosis of a helicopter transmission component is introduced, and its main modules are described.Abstract:
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.read more
Citations
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Condition monitoring and fault diagnosis of planetary gearboxes: A review
TL;DR: This paper aims to review and summarize publications on condition monitoring and fault diagnosis of planetary gearboxes and provide comprehensive references for researchers interested in this topic.
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A particle-filtering approach for on-line fault diagnosis and failure prognosis
TL;DR: In this paper, an online particle-filtering-based framework for fault diagnosis and failure prognosis in non-linear, non-Gaussian systems is proposed, which considers the implementation of two autonomous modules: a fault detection and identification (FDI) module uses a hybrid state-space model of the plant and a PF algorithm to estimate the state probability density function (pdf) of the system and calculates the probability of a fault condition in realtime.
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Uncertainty quantification and model validation of fatigue crack growth prediction
TL;DR: In this article, the authors present a methodology for uncertainty quantification and model validation in fatigue crack growth analysis using a Bayes network, where several models are connected through a Bayesian network that aids in model calibration and validation.
Proceedings ArticleDOI
Advances in uncertainty representation and management for particle filtering applied to prognostics
TL;DR: In this article, the prediction uncertainty is modeled via a rescaled Epanechnikov kernel and is assisted with resampling techniques and regularization algorithms, which can improve solution accuracy and reduce uncertainty bounds.
Journal ArticleDOI
An explanation of frequency features enabling detection of faults in equally spaced planetary gearbox
TL;DR: In this article, Fourier series analysis is used to explain the sideband patterns in the resulting vibration spectra, which differ significantly from the spectra of a normal fixed-axis/parallel gear pair system.
References
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Proceedings ArticleDOI
An approach to fault diagnosis of helicopter planetary gears
TL;DR: In this article, the authors presented a methodology to analyze raw vibration data provided to Georgia Tech from the carrier testing, which consists of selection and extraction of appropriate features from vibration data indicative of the fault condition and the construction of an optimum feature vector Test cell data sampled at 100 kHz for torque cases ranging from 20% to 100% were processed.