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Remaining useful life estimation by empirical mode decomposition and ensemble deep convolution neural networks 会议论文
2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019, San Francisco, CA, United states, June 17-20, 2019
Authors:  Yao QF(么庆丰);  Yang TJ(杨天吉);  Liu Z(刘智);  Zheng ZY(郑泽宇)
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Neural Networks  Ensemble Learning  Empirical Mode Decomposition  Remaining Useful Life  
基于电流信号特征分析的异步电机轴承故障诊断方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
Authors:  宋向金
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异步电机  滚动 轴承  故障诊断  特征提取  Mcsa  
Hilbert解调制方法诊断异步电机轴承故障 期刊论文
电工技术学报, 2018, 卷号: 33, 期号: 21, 页码: 4941-4948
Authors:  宋向金;  王卓;  胡静涛;  祝洪宇
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异步电机  轴承故障  Hilbert变换  定子电流  
A bearing outer raceway fault detection method in induction motors based on instantaneous frequency of the stator current 期刊论文
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 卷号: 13, 期号: 3, 页码: 510-516
Authors:  Song XJ(宋向金);  Hu JT(胡静涛);  Zhu HY(祝洪宇);  Zhang JL(张吉龙)
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Motor Current Signature Analysis  Hilbert Transform  Induction Motors  Bearing Faults  Instantaneous Frequency  
Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault 期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 页码: 1-11
Authors:  Song XJ(宋向金);  Hu JT(胡静涛);  Zhu, Hongyu;  Zhang, Jilong
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Vibration analysis approach for corrosion pitting detection based on SVDD and PCA 会议论文
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
Authors:  Zhang YL(章永来);  Shi HB(史海波);  Zhou XF(周晓锋);  Zheng ZY(郑泽宇)
View  |  Adobe PDF(125Kb)  |  Favorite  |  View/Download：172/72  |  Submit date：2015/12/16
Machine Learning  Rolling Bearing  Corrosion Pitting  Svdd  Pca  
Corrosion pitting damage detection of rolling bearings using data mining techniques 期刊论文
International Journal of Modelling, Identification and Control, 2015, 卷号: 24, 期号: 3, 页码: 235-243
Authors:  Zhang YL(章永来);  Zhou XF(周晓锋);  Shi HB(史海波);  Zheng ZY(郑泽宇);  Li S(李帅)
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Corrosion Pitting  Machine Learning  Support Vector Data Description  Rolling Bearings  Pca  Svdd  Principal Component Analysis