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Combining synchronous averaging with a Gaussian mixture model novelty detection scheme for vibration-based condition monitoring of a gearbox

Author: Heyns, T ; Heyns, PS ; De Villiers, JP Date: Oct 2012 This paper investigates how Gaussian mixture models (GMMs) may be used to detect and trend fault induced vibration signal irregularities, such as those which might be indicative of the onset of gear damage. The negative log likelihood (NLL) ... Read more
Condition monitoring of oil-impregnated paper bushings using extension neural network, Gaussian mixture and hidden Markov models

Author: Miya, WS ; Mpanza, LJ ; Marwala, T ; Nelwamondo, Fulufhelo V Date: Oct 2008 In this paper, a comparison between Extension Neural Network (ENN), Gaussian Mixture Model (GMM) and Hidden Markov model (HMM) is conducted for bushing condition monitoring. The monitoring process is a two-stage implementation of a classification ... Read more
Statistical imitation system using relational interest points and Gaussian mixture models

Author: Claassens, J Date: Nov 2009 The author proposes an imitation system that uses relational interest points (RIPs) and Gaussian mixture models (GMMs) to characterize a behaviour. The system's structure is inspired by the Robot Programming by Demonstration (RDP) paradigm. ... Read more

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Browsing by Subject "Gaussian mixture models"

Browsing by Subject "Gaussian mixture models"

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