Research on Fault Diagnosis Method of Rotating Machinery Based on Extreme Learning Machine

机译：基于极端学习机的旋转机械故障诊断方法研究

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The space station has gradually entered the world. It is equipped with centrifuges for variable gravity experiments. The stagnation of centrifuge may lead to the increase of motor current, which may lead to fire. Vibration signal of centrifuge is unstable and asymmetric. Secondly, the first order modal functions are used to obtain the spectrum by Fourier transform, and the information entropy intrinsic mode function of the spectrum is calculated. At the same time, information entropy is used as a fault feature and dimensionality reduction. Finally, the fault features are trained by the extreme learning machine method, and the actual data acquisition training method is used.

机译：空间站逐渐进入了世界。它配备了用于可变重力实验的离心机。离心机的停滞可能导致电机电流的增加，这可能导致火灾。离心机的振动信号是不稳定和不对称的。其次，使用傅立叶变换来获得第一阶模态函数来获得频谱，并且计算频谱的信息熵本质模式功能。同时，信息熵用作故障特征和减少维度。最后，故障特征由极端学习机方法训练，使用实际的数据采集训练方法。

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《International Conference on Mathematics, Big Data Analysis and Simulation and Modeling》|2019年|221p|共4页
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作者
Dequan Yu; Yang Wang; Wenbo Wu; Hongyong Fu; Ke Wang;
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原文格式 PDF
正文语种
中图分类 TP3-53;
关键词
Information entropy; Intrinsic mode function; Extreme learning machine;

机译：信息熵;内在模式功能;极限学习机器;

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1. Fault diagnosis of rotating machinery with ensemble kernel extreme learning machine based on fused multi-domain features [J] . ISA Transactions . 2020,第期

机译：基于熔融多域特征的集合内核极端学习机旋转机械故障诊断
2. A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine [J] . Li Ke, Xiong Meng, Li Fucai, Neurocomputing . 2019,第JULa20期

机译：基于稀疏和邻域保留的深度极限学习机的旋转机械故障诊断新算法
3. A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine [J] . Li Ke, Xiong Meng, Li Fucai, Neurocomputing . 2019,第Jul20期

机译：基于稀疏和邻域旋转机械的新型故障诊断算法
4. Research on Fault Diagnosis Method of Rotating Machinery Based on Extreme Learning Machine [C] . Dequan Yu, Yang Wang, Wenbo Wu, International Conference on Mathematics, Big Data Analysis and Simulation and Modeling . 2019

机译：基于极端学习机的旋转机械故障诊断方法研究
5. Fault detection and diagnosis in machining processes and rotating machinery using fuzzy approach and hidden Markov model [D] . Boutros, Tony 2006

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6. A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion [O] . Wenfeng Gong, Hui Chen, Zehui Zhang, 2019

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7. A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions [O] . Peiming Shi, Peng Xue, Aoyun Liu, 2021

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Research on Fault Diagnosis Method of Rotating Machinery Based on Extreme Learning Machine

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