Author:Heyns, T; Heyns, PS; De Villiers, JPDate:Oct 2012This 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
Author:Miya, WS; Mpanza, LJ; Marwala, T; Nelwamondo, Fulufhelo VDate:Oct 2008In 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
Author:Claassens, JDate:Nov 2009The 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