Related references
Note: Only part of the references are listed.Application of the Enhanced Dynamic Causal Digraph Method on a Three-Layer Board Machine
Hui Cheng et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2011)
Quantitative analysis of directional strengths in jointly stationary linear multivariate processes
S. Gigi et al.
BIOLOGICAL CYBERNETICS (2010)
Cause-and-effect analysis in chemical processes utilizing XML, plant connectivity and quantitative process history
Jegatheeswaran Thambirajah et al.
COMPUTERS & CHEMICAL ENGINEERING (2009)
A NEW APPROACH TO MULTIPLE FAULT DIAGNOSIS: A COMBINATION OF DIAGNOSTIC MATRICES, GRAPHS, ALGEBRAIC AND RULE-BASED MODELS. THE CASE OF TWO-LAYER MODELS
Antoni Ligeza et al.
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE (2008)
A practical method for identifying the propagation path of plant-wide disturbances
Margret Bauer et al.
JOURNAL OF PROCESS CONTROL (2008)
Safety analysis of autonomous systems by extended fault tree analysis
Jan Aslund et al.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2007)
Methods for quantifying the causal structure of bivariate time series
M. Lungarella et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS (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)
Using process topology in plant-wide control loop performance assessment
S. Y. Yim et al.
COMPUTERS & CHEMICAL ENGINEERING (2006)
PSCMAP: A new tool for plant-wide oscillation detection
AK Tangirala 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)
A systematic framework for the development and analysis of signed digraphs for chemical processes. 1. Algorithms and analysis
MR Maurya et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2003)
A systematic framework for the development and analysis of signed digraphs for chemical processes. 2. Control loops and flowsheet analysis
MR Maurya et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2003)
Dynamic causal model diagnostic reasoning for online technical process supervision
J Montmain et al.
AUTOMATICA (2000)
Measuring information transfer
T Schreiber
PHYSICAL REVIEW LETTERS (2000)
Creating signed directed graph models for process plants
C Palmer et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2000)
Quantitative and qualitative models for fault detection and isolation
M Staroswiecki
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2000)
Information processing in large-scale cerebral networks: the causal connectivity approach
J Pastor et al.
BIOLOGICAL CYBERNETICS (2000)
Share Paper
