An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis

By Li Shaobo   Liu Guokai   Tang Xianghong   Lu Jianguang   Hu Jianjun  

Sensors, Vol. 17, Iss. 8, 2017-07 ,pp. : 1729-1729

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Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence

By Zhang Ran   Peng Zhen   Wu Lifeng   Yao Beibei   Guan Yong  

Sensors, Vol. 17, Iss. 3, 2017-03 ,pp. : 549-549

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Context Relevant Prediction Model for COPD Domain Using Bayesian Belief Network

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Sensors, Vol. 17, Iss. 7, 2017-06 ,pp. : 1486-1486

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An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

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Sensors, Vol. 17, Iss. 2, 2017-02 ,pp. : 414-414

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A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

By Zhang Wei   Peng Gaoliang   Li Chuanhao   Chen Yuanhang   Zhang Zhujun  

Sensors, Vol. 17, Iss. 2, 2017-02 ,pp. : 425-425

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