Weighted multi-source information fusion network-based framework for mechanical fault diagnosis
Shanshan Song,
Shuqing Zhang,
Xiang Wu
Abstract:To alleviate the loss of potentially valuable and discriminative features as the number of networks increases in deep learning (DL). A weighted multi-source information fusion network-based framework is proposed for mechanical fault diagnosis. Firstly, a feature improved Deep Belief Network (FIDBNs) and a feature improved Convolutional Neural Network (FICNNNs) are designed to repetitively extract valuable information from original data. Meanwhile, an attention mechanism is adopted to further extract important … Show more
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