Intelligent diagnosis of bearing faults is fundamental to machinery automation and their intelligent operation. Deep learning-based analysis of bearing vibration data has emerged as one research mainstream for fault diagnosis. To enhance the quality of feature extraction from bearing vibration signals and the robustness of the model, we construct a fault diagnostic model based on convolutional neural network (CNN) and long short-term memory (LSTM) parallel network to extract their temporal and spatial features from two perspectives.
View Article and Find Full Text PDFInfluenza C virus (ICV) was identified in five pediatric acute respiratory cases in Shandong. Co-infection with other respiratory viruses was detected in four of these cases. Two ICV genomes were obtained and clustered in the S1-sublineage of C/Sao Paulo/378/82, indicating that genetically diverse ICV strains have been circulating in mainland China.
View Article and Find Full Text PDFHand, foot, and mouth disease (HFMD) is a global health concern. Family members, particularly enterovirus A71 (EVA71) and coxsackievirus A16 (CVA16), are the primary etiological agents of HFMD; however, a third enterovirus A species, CVA6, has been recently associated with epidemic outbreaks. Study of the pathogenesis of CVA6 infection and development of antivirals and vaccines are hindered by a lack of appropriate animal models.
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