Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
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...ions over the years. Furthermore, they have been frequently used in processing sequential data including Natural Language Processing and Speech Recognition [34,35] and even 1D signals e.g., vibration [36,37]. Besides the top performance levels they can achieve, another crucial advantage they offer is that they can combine both feature extraction and classification tasks into a single body unlike traditio...
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"Intelligent fault diagnosis of roll..." refers background in this paper
...A number of studies have been conducted based on the experience of scientific knowledge in the area of biology and cognitive science and have produced some effective methods, such as deep belief networks, the restricted Boltzmann machine, and the stacked autoencoder [23,24], which are used to guide the greedy training of multiple layers via unsupervised learning....
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"Intelligent fault diagnosis of roll..." refers methods in this paper
...Note that a stacked denoising autoencoder (SDA) was used instead of the SAE where a denoising process is used to enhance the anti-noise ability in forward unsupervised learning [25]....
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