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基于数据驱动的自主式水下潜水器故障检测方法研究与应用 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  杨宗圣
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自主式水下潜水器  故障检测  主元分析  注意力机制  大数据  
基于多块信息提取的AUV资源勘查系统故障检测 期刊论文
控制与决策, 2020, 页码: 1-10
Authors:  郭大权;  杨宗圣;  周晓锋;  李帅;  徐春晖
Adobe PDF(33327Kb)  |  Favorite  |  View/Download:116/25  |  Submit date:2019/12/14
AUV  主元分析  故障检测  信息提取  多块建模  
Bayesian online change point detection method for process monitoring 会议论文
Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, Hefei, China, August 22-24, 2020
Authors:  Pan YJ(潘怡君);  Zheng ZY(郑泽宇)
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fault detection  Bayesian  change point detection  industrial process  exponential family  
Graph-Based Method for Fault Detection in the Iron-Making Process 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 40171-40179
Authors:  An RQ(安汝峤);  Yang CJ(杨春节);  Pan YJ(潘怡君)
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Fault detection  graph  iron-making process  Mahalanobis distance  minimum spanning tree  
A method for degradation prediction based on Hidden Semi-Markov models with mixture of Kernels 期刊论文
Computers in Industry, 2020, 卷号: 122, 页码: 1-13
Authors:  Yang TJ(杨天吉);  Zheng ZY(郑泽宇);  Qi L(亓亮)
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Prognostics and health management  Remaining useful lifetime  Hidden semi-Markov models  Kernel method approximationa  
基于机器学习方法的汽车装配质量预测分析 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  刘舒锐
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汽车装配制造  质量预测  质量分析  加权支持向量机  随机森林  
基于IJB-PCA-ICA算法的故障检测 期刊论文
化工学报, 2018, 卷号: 69, 期号: 12, 页码: 5146-5154
Authors:  刘舒锐;  彭慧;  李帅;  周晓锋
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主元分析  过程系统  过程控制  独立元分析  J-b检验  
Correlated and weakly correlated fault detection based on variable division and ICA 期刊论文
Computers and Industrial Engineering, 2017, 卷号: 112, 页码: 320-335
Authors:  Li S(李帅);  Zhou XF(周晓锋);  Pan FC(潘福成);  Shi HB(史海波);  Li KT(李开拓);  Wang ZW(王中伟)
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Fault Detection  Monitoring  Variable Division  Correlated And Weakly Correlated Variables  Independent Component Analysis  
Multimode processes monitoring using global–local MIC-PCA-SVDD 会议论文
Lecture Notes in Electrical Engineering, Kunming, China, July 10-12, 2017
Authors:  Li S(李帅);  Zhou XF(周晓锋);  Shi HB(史海波);  Wang ZW(王中伟)
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Monitoring  Multimode processes  Multimode division  Global–local MIC-PCA-SVDD  
Fault detection based on global-local PCA-SVDD for multimode processes 会议论文
Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017, Kunming, China, July 10-12, 2017
Authors:  Li S(李帅);  Zhou XF(周晓锋);  Shi HB(史海波);  Wang ZW(王中伟)
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fault detection  monitoring  multimode industrial processes  mode division  global-local PCA-SVDD