Fault Diagnosis for the Gearbox of a High-Speed Train on Generalized Congruence Neural Networks

机译：基于广义同余神经网络的高速列车变速箱故障诊断。

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Aiming at the existence of convergence is very slow and there are many local minima problems of BP neural network, put forward an improved generalized congruence neural network (GCNN). Improved GCNN neural network has better generalization ability, learning speed, small relative error, easy to operate. The GCNN applied to fault diagnosis examples of high-speed train gearbox, experiments show that: GCNN neural network can achieve the status of intelligent gearbox fault diagnosis effectively, recognize and classify the pattern effectively, complete fault intelligent diagnosis.

机译：针对收敛性的存在是非常缓慢的，并且存在很多BP神经网络的局部极小问题，提出了一种改进的广义同余神经网络（GCNN）。改进的GCNN神经网络具有较好的泛化能力，学习速度快，相对误差小，易于操作。将GCNN应用于高速列车齿轮箱故障诊断实例，实验表明：GCNN神经网络可以有效达到智能齿轮箱故障诊断状态，有效识别和分类模式，完成故障智能诊断。

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《International conference on transportation engineering》|2015年|2209-2215|共7页
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Ruixue Tang; Xueqing Cheng;
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Generalized congruence neural networks; Gearbox; Fault diagnosis;

机译：广义同余神经网络;变速箱;故障诊断;

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专利

1. Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks [J] . Hexuan Hu, Bo Tang, Xuejiao Gong, IEEE transactions on industrial informatics . 2017,第4期

机译：基于深度神经网络的大数据高速列车智能故障诊断
2. Fault Diagnosis of High-speed Train Bogie Based on Deep Neural Network [J] . Yuanjie Zhang, Na Qin, Deqing Huang, IFAC PapersOnLine . 2019,第24期

机译：基于深度神经网络的高速列车转向架故障诊断
3. Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie [J] . Liang Kaiwei, Qin Na, Huang Deqing, Complexity . 2018,第1期

机译：卷积递归神经网络在高速列车转向架故障诊断中的应用
4. Fault Diagnosis for the Gearbox of a High-Speed Train on Generalized Congruence Neural Networks [C] . Ruixue Tang, Xueqing Cheng International conference on transportation engineering . 2015

机译：广义一致性神经网络上高速列车变速箱的故障诊断
5. Diagnosis and prognosis of electrical and mechanical faults using wireless sensor networks and two-stage neural network classifier. [D] . Ramani, Akarsha. 2008

机译：使用无线传感器网络和两阶段神经网络分类器对机电故障进行诊断和预后。
6. An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox [O] . Luyang Jing, Taiyong Wang, Ming Zhao, 2017

机译：基于深度卷积神经网络的自适应多传感器数据融合方法在行星齿轮箱故障诊断中的应用
7. Vibration signal analysis and fault diagnosis of bogies of the high-speed train based on deep neural networks [O] . Jian Ming Yan, Yang Zhao, Zheng Hong Guo 2017

机译：基于深神经网络的高速列车转向架的振动信号分析与故障诊断

Fault Diagnosis for the Gearbox of a High-Speed Train on Generalized Congruence Neural Networks

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