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Impulse components in vibration signals are important fault features of complex machines. Sparse coding (SC) algorithm has been introduced as an impulse feature extraction method, but it could not guarantee a satisfactory performance in processing vibration signals with heavy background noises. In this paper, a method based on fusion sparse coding (FSC) and online dictionary learning is proposed to...
Impulse components in vibration signals are important indicators of machinery health states. Sparse coding (SC) is regarded as an efficient impulse feature extraction method, but it cannot extract the weak impulse features in vibration signals with heavy background noises. In this paper, a fusion sparse coding (FSC) method is proposed to extract impulse components effectively. Firstly, several sparse...
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