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In the mechanical fault diagnosis and signal processing domain, there has been growing interest in sparse coding which is advocated as an effective mathematical description for the underlying principle of sensory systems in signal processing. In this paper, a natural extension of sparse coding, locality-constrained sparse coding, is introduced as a feature extraction technique for machinery fault...
The RUL prediction of battery is an effective approach to improve the battery reliability and service life. This paper proposes a novel evaluation algorithm of battery states which is named logistic regression based on strong tracking particle filter for battery RUL prediction. The core idea of this algorithm is to approximate the non-linear and non-Gaussian process of state update of battery RUL...
In this paper, we present a novel semi-supervised strategy for machine fault diagnosis. In the proposed method, we select parzen window as the generative classifier and Gentleboost as the discriminative classifier. Compared with SVM, boosting method has a very interesting property of relative immunity to overfitting. In addition, we propose a novel adaptive parzen window algorithm. It employs variational...
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