相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Self-Supervised Learning Across Domains
Silvia Bucci et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning
Wei Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Key-Performance-Indicator-Related Process Monitoring Based on Improved Kernel Partial Least Squares
Yabin Si et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
Xiang Li et al.
NEUROCOMPUTING (2020)
Fault detection and diagnosis based on transfer learning for multimode chemical processes
Hao Wu et al.
COMPUTERS & CHEMICAL ENGINEERING (2020)
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder
Yalin Wang et al.
JOURNAL OF PROCESS CONTROL (2020)
Transfer Dictionary Learning Method for Cross-Domain Multimode Process Monitoring and Fault Isolation
Keke Huang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme
Kai Wang et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2019)
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring
Xiaogang Deng et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2019)
Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test
M. -F Harkat et al.
INFORMATION SCIENCES (2019)
Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model
Le Zhou et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
A Mixture of Variational Canonical Correlation Analysis for Nonlinear and Quality-Relevant Process Monitoring
Yiqi Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
Yining Dong et al.
JOURNAL OF PROCESS CONTROL (2018)
A fuzzy Bayesian network approach for risk analysis in process industries
Mohammad Yazdi et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2017)
Canonical correlation analysis-based fault detection methods with application to alumina evaporation process
Zhiwen Chen et al.
CONTROL ENGINEERING PRACTICE (2016)
Data-Driven Process Monitoring Based on Modified Orthogonal Projections to Latent Structures
Shen Yin et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2016)
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference
Qingchao Jiang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Supervised linear dynamic system model for quality related fault detection in dynamic processes
Zhiqiang Ge et al.
JOURNAL OF PROCESS CONTROL (2016)
Switching LDS-based approach for process fault detection and classification
Xinru Chen et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)
Statistical process monitoring of a multiphase flow facility
C. Ruiz-Carcel et al.
CONTROL ENGINEERING PRACTICE (2015)
Multimode Dynamic Process Monitoring Based on Mixture Canonical Variate Analysis Model
Qiaojun Wen et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2015)
Data-based linear Gaussian state-space model for dynamic process monitoring
Qiaojun Wen et al.
AICHE JOURNAL (2012)
Kernel k-means clustering based local support vector domain description fault detection of multimodal processes
Issam Ben Khediri et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
Shen Yin et al.
JOURNAL OF PROCESS CONTROL (2012)
Domain Adaptation via Transfer Component Analysis
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
Transfer latent variable model based on divergence analysis
Xinbo Gao et al.
PATTERN RECOGNITION (2011)
Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations
Pabara-Ebiere Patricia Odiowei et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2010)
Bregman Divergence-Based Regularization for Transfer Subspace Learning
Si Si et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
Fault detection using the k-nearest neighbor rule for semiconductor manufacturing processes
Q. Peter He et al.
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING (2007)
Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
EL Russell et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2000)