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Two Kinds of Neural Network Fusion of Aero-engine Rotor Vibration Signal Fault Diagnosis

机译：航空发动机转子振动信号故障诊断两种神经网络融合

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Feng Ding; Zhaoyang Wang; Fengwei Qin;
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年度 2015
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1. Feature-level fusion based on wavelet transform and artificial neural network for fault diagnosis of planetary gearbox using acoustic and vibration signals [J] . M Khazaee, H Ahmadi, M Omid, Insight . 2013,第6期

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2. Comparison of RBF Neural Network and Support Vector Machine on Aero-engine Vibration Fault Diagnosis [J] . Kai Xiong, DongXiang Jiang, YongShan Ding, Key Engineering Materials . 2007,第期

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3. A Multistage Cutting Tool Fault Diagnosis Algorithm for the Involute form Cutter Using Cutting Force and Vibration Signals Spectrum Imaging and Convolutional Neural Networks [J] . Gurkan Kucukyildiz, Habibe Gursoy Demir Arabian Journal for Science and Engineering . 2021,第12期

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4. Two Kinds of Neural Network Fusion of Aero-engine Rotor Vibration Signal Fault Diagnosis [C] . Feng Ding, Zhaoyang Wang, Fengwei Qin International Conference on Mechatronics, Materials, Chemistry and Computer Engineering . 2015

机译：航空发动机转子振动信号故障诊断两种神经网络融合
5. A framework for the testing and fault diagnosis of analog and mixed signal circuits using artificial neural networks. [D] . Spina, Robert. 1996

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6. Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input [O] . Davor Kolar, Dragutin Lisjak, Michał Pająk, 2020

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7. Bearings Fault Diagnosis Based on Convolutional Neural Networks with 2-D Representation of Vibration Signals as Input [O] . Wei Zhang, Gaoliang Peng, Chuanhao Li 2017

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Two Kinds of Neural Network Fusion of Aero-engine Rotor Vibration Signal Fault Diagnosis

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