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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The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings

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Sensors, Vol. 17, Iss. 3, 2017-03 ,pp. : 535-535

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Application of Fault Tree Analysis and Fuzzy Neural Networks to Fault Diagnosis in the Internet of Things (IoT) for Aquaculture

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Sensors, Vol. 17, Iss. 1, 2017-01 ,pp. : 153-153

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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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High-Q Wafer Level Package Based on Modified Tri-Layer Anodic Bonding and High Performance Getter and Its Evaluation for Micro Resonant Pressure Sensor

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Sensors, Vol. 17, Iss. 3, 2017-03 ,pp. : 599-599

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