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。Multiway discrete hidden Markov model-based approach for dynamic batch process monitoring and fault classification
Jie Yu
AICHE JOURNAL (2012)
A nonlinear kernel Gaussian mixture model based inferential monitoring approach for fault detection and diagnosis of chemical processes
Jie Yu
CHEMICAL ENGINEERING SCIENCE (2012)
A Bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses
Jie Yu
COMPUTERS & CHEMICAL ENGINEERING (2012)
Source identification of plant-wide faults based on k nearest neighbor time delay estimation
Markus Stockmann et al.
JOURNAL OF PROCESS CONTROL (2012)
A particle filter driven dynamic Gaussian mixture model approach for complex process monitoring and fault diagnosis
Jie Yu
JOURNAL OF PROCESS CONTROL (2012)
Localized Fisher Discriminant Analysis Based Complex Chemical Process Monitoring
Jie Yu
AICHE JOURNAL (2011)
Nonlinear Bioprocess Monitoring Using Multiway Kernel Localized Fisher Discriminant Analysis
Jie Yu
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2011)
KERNEL DENSITY ESTIMATION VIA DIFFUSION
Z. I. Botev et al.
ANNALS OF STATISTICS (2010)
A semi-supervised approach to fault diagnosis for chemical processes
Isaac Monroy et al.
COMPUTERS & CHEMICAL ENGINEERING (2010)
Fault detection and isolation of faults in a multivariate process with Bayesian network
Sylvain Verron et al.
JOURNAL OF PROCESS CONTROL (2010)
Cause-and-effect analysis in chemical processes utilizing XML, plant connectivity and quantitative process history
Jegatheeswaran Thambirajah et al.
COMPUTERS & CHEMICAL ENGINEERING (2009)
Performance assessment of a novel fault diagnosis system based on support vector machines
Ignacio Yelamos et al.
COMPUTERS & CHEMICAL ENGINEERING (2009)
Variance component analysis based fault diagnosis of multi-layer overlay lithography processes
Jie Yu et al.
IIE TRANSACTIONS (2009)
Fault Detection and Identification Using Modified Bayesian Classification on PCA Subspace
Jialin Liu et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2009)
Multiway Gaussian Mixture Model Based Multiphase Batch Process Monitoring
Jie Yu et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2009)
Root cause diagnosis of plant-wide oscillations using the concept of adjacency matrix
Hailei Jiang et al.
JOURNAL OF PROCESS CONTROL (2009)
Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models
Jie Yu et al.
AICHE JOURNAL (2008)
Monitoring a complex refining process using multivariate statistics
Ashraf AlGhazzawi et al.
CONTROL ENGINEERING PRACTICE (2008)
Statistical MIMO controller performance monitoring. Part II: Performance diagnosis
Jie Yu et al.
JOURNAL OF PROCESS CONTROL (2008)
A practical method for identifying the propagation path of plant-wide disturbances
Margret Bauer et al.
JOURNAL OF PROCESS CONTROL (2008)
A signed directed graph and qualitative trend analysis-based framework for incipient fault diagnosis
M. R. Maurya et al.
CHEMICAL ENGINEERING RESEARCH & DESIGN (2007)
Nearest neighbors methods for root cause analysis of plantwide disturbances
Margret Bauer et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2007)
Finding the direction of disturbance propagation in a chemical process using transfer entropy
Margret Bauer et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2007)
A method of sensor fault detection and identification
N Mehranbod et al.
JOURNAL OF PROCESS CONTROL (2005)
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets
MR Maurya et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2004)
Fault diagnosis based on Fisher discriminant analysis and support vector machines
LH Chiang et al.
COMPUTERS & CHEMICAL ENGINEERING (2004)
Process monitoring using Bayesian classification on PCA subspace
JL Liu
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2004)
Batch process monitoring and its application to polymerization systems
C Undey et al.
MACROMOLECULAR SYMPOSIA (2004)
Process and controller performance monitoring: overview with industrial applications
KA Hoo et al.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2003)
Real-time batch process supervision by integrated knowledge-based systems and multivariate statistical methods
C Ündey et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)
Statistical process monitoring: basics and beyond
SJ Qin
JOURNAL OF CHEMOMETRICS (2003)
Probabilistic model for sensor fault detection and identification
N Mehranbod et al.
AICHE JOURNAL (2003)
A review of process fault detection and diagnosis Part I: Quantitative model-based methods
V Venkatsubramanian et al.
COMPUTERS & CHEMICAL ENGINEERING (2003)
Process monitoring using causal map and multivariate statistics: fault detection and identification
LH Chiang et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2003)
An intelligent system for multivariate statistical process monitoring and diagnosis
E Tatara et al.
ISA TRANSACTIONS (2002)
Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
LH Chiang et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2000)