咨询与建议

限定检索结果

文献类型

  • 5 篇 期刊文献
  • 1 篇 会议

馆藏范围

  • 6 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 6 篇 工学
    • 4 篇 电气工程
    • 4 篇 控制科学与工程
    • 4 篇 计算机科学与技术...
    • 2 篇 仪器科学与技术
    • 1 篇 化学工程与技术
  • 1 篇 理学
    • 1 篇 数学
    • 1 篇 化学
    • 1 篇 统计学(可授理学、...
  • 1 篇 管理学
    • 1 篇 管理科学与工程(可...

主题

  • 6 篇 multimode proces...
  • 2 篇 outliers
  • 2 篇 big data
  • 2 篇 quality predicti...
  • 2 篇 mathematical mod...
  • 2 篇 data models
  • 2 篇 adaptation model...
  • 1 篇 deep learning
  • 1 篇 stochastic varia...
  • 1 篇 informatics
  • 1 篇 dictionaries
  • 1 篇 logic gates
  • 1 篇 semi-supervised ...
  • 1 篇 model mismatch
  • 1 篇 adaptive model u...
  • 1 篇 semisupervised m...
  • 1 篇 process monitori...
  • 1 篇 gaussian mixture...
  • 1 篇 stochastic varia...
  • 1 篇 soft sensor

机构

  • 2 篇 zhejiang univ co...
  • 1 篇 liaoning shihua ...
  • 1 篇 hangzhou normal ...
  • 1 篇 cent south univ ...
  • 1 篇 zhejiang univ sc...
  • 1 篇 zhejiang univ in...
  • 1 篇 zhejiang univ in...
  • 1 篇 peng cheng lab p...
  • 1 篇 minist educ key ...
  • 1 篇 univ southampton...
  • 1 篇 zhejiang univ in...

作者

  • 3 篇 ge zhiqiang
  • 3 篇 yao le
  • 2 篇 song zhihuan
  • 1 篇 pan yi
  • 1 篇 zhu jinlin
  • 1 篇 su hongye
  • 1 篇 cui linlin
  • 1 篇 shao weiming
  • 1 篇 zheng junhua
  • 1 篇 liu yishun
  • 1 篇 gui weihua
  • 1 篇 sun bei
  • 1 篇 huang keke
  • 1 篇 hu shiyan
  • 1 篇 xie lei
  • 1 篇 shen bingbing
  • 1 篇 tao zui
  • 1 篇 ge zhicliang
  • 1 篇 yang chunhua
  • 1 篇 luo lin

语言

  • 6 篇 英文
检索条件"主题词=multimode process modeling"
6 条 记 录,以下是1-10 订阅
排序:
multimode process data modeling: A Dirichlet process mixture model based Bayesian robust factor analyzer approach
收藏 引用
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2015年 142卷 231-244页
作者: Zhu, Jinlin Ge, Zhicliang Song, Zhihuan Zhejiang Univ Inst Ind Proc Control Dept Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 370027 Peoples R China
In this study, a novel Bayesian robust mixture factor analyzer (BRMFA) is proposed to deal with the robust multimode process modeling problem. Traditional factor analyzers with Gaussian assumptions are susceptible to ... 详细信息
来源: 评论
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for multimode process Soft Sensor Application
收藏 引用
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023年 第4期19卷 6056-6068页
作者: Yao, Le Shen, Bingbing Cui, Linlin Zheng, Junhua Ge, Zhiqiang Hangzhou Normal Univ Sch Math Hangzhou 311121 Peoples R China Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Zhejiang Univ Sci & Technol Sch Automat & Elect Engn Hangzhou 310023 Peoples R China
Nonlinear and multimode characteristics commonly appear in modern industrial process data with increasing complexity and dynamics, which have brought challenges to soft sensor modeling. To solve these issues, in this ... 详细信息
来源: 评论
Adaptive multimode process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning
收藏 引用
IEEE TRANSACTIONS ON CYBERNETICS 2023年 第6期53卷 3974-3987页
作者: Huang, Keke Tao, Zui Liu, Yishun Sun, Bei Yang, Chunhua Gui, Weihua Hu, Shiyan Cent South Univ Sch Automat Changsha 410083 Peoples R China Peng Cheng Lab Shenzhen 518055 Peoples R China Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ England
In real industrial processes, factors, such as the change in manufacturing strategy and production technology lead to the creation of multimode industrial processes and the continuous emergence of new modes. Although ... 详细信息
来源: 评论
A Novel Scalable Semi-supervised GMM and Its Application for multimode process Quality Prediction with Big Data  7
A Novel Scalable Semi-supervised GMM and Its Application for...
收藏 引用
IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)
作者: Yao, Le Ge, Zhiqiang Shao, Weiming Song, Zhihuan Zhejiang Univ Inst Ind Proc Control Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China
In this paper, a novel variational inference semi-supervised GMM (VI-S(2)GMM) model is firstly proposed for multimode process predictive modeling with semi-supervised data. Since all the labeled and unlabeled data sam... 详细信息
来源: 评论
A Robust Infinite Gaussian Mixture Model and Its Application in Fault Detection of Nonlinear multimode processes
收藏 引用
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 2020年 第12期53卷 758-770页
作者: Pan, Yi Xie, Lei Su, Hongye Luo, Lin Zhejiang Univ Inst Cyber Syst & Control State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China Liaoning Shihua Univ Sch Informat & Control Engn 1 West Dandong Rd Fushun City Liaoning Peoples R China
Finite Gaussian mixture model (GMM) has recently proven to be a powerful unsupervised treatment for monitoring nonlinear processes with multiple operating conditions. The performance of GMM-based monitoring method lar... 详细信息
来源: 评论
Scalable Semisupervised GMM for Big Data Quality Prediction in multimode processes
收藏 引用
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2019年 第5期66卷 3681-3692页
作者: Yao, Le Ge, Zhiqiang Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China Minist Educ Key Lab Knowledge Automat Ind Proc Beijing 100083 Peoples R China
In this paper, a novel variational inference semisupervised Gaussian mixture model (VI-S-2 GMM) model is first proposed for semisupervised predictive modeling in multimode processes. Parameters of Gaussian components ... 详细信息
来源: 评论