On-Line Fault Detection And Supervision In The Chemical Process Industries 1998 Book

	Contributions from the Community IT Programme	1
	Future of Supervisory Systems in Process Industries: Lessons for Discrete Manufacturing	9
	Process Trend Analysis Using Wavelet-Based De-Noising	17
	Fault Detection Using Wavelet Filtering and Non-Linear Principal Components Analysis	23
	Hierarchical Plant-Wide Monitoring and Triangular Representation Based Diagnosis	29
	A Time-Frequency Analysis of Pressure Fluctuations for the Diagnosis of Fluidized Bed Boilers	35
	Semi-Quantitative Model Based Chemical Process Fault Diagnosis via Episodic Fuzzy Rules	41
	Evaluation of Structured Residuals, Application to a Gas-Liquid Separation Unit	47
	Non-Linear Observer Based Method for Fault Detection and Isolation	53
	Fault Observability and Fault Reconstruction for Dynamic Systems	59
	Fault Detection for Time-Delay Systems within Robust Residual Based on Finite Memory Observers	65
	Robust Fault Detection for Nonlinear Systems in the Presence of Unstructured Uncertainties	71
	Detect Unexpected Changes of Particle Size Distribution in Paper-Making White Water Systems	77
	Reconciling Academic Approaches and Industrial Realities: Lessons from Fault Diagnosis Applications	83
	Industrial Implementation and Testing of Model-Based Diagnosis in the PRIDE Project	89
	Observing the Sugar-Beet Quality Using Process and Signal Analysing Methods	95
	How On-Line Fault Detection and Supervision Systems Can Benefit from the CAPE-OPEN Standard Interfaces in Process Simulation	101
	Towards an Integrated Tool for Control, Supervision and Operator Training - Application to Industrial Wastewater Treatment Plants	107
	Parallel Evolutionary Approach to System Identification for Process Fault Diagnosis	113
	A Generic Fault Propagation Modeling Approach to On-Line Diagnosis and Event Correlation	119
	An Hybrid Reference Model for On-Line Detection in Discontinuous Systems	125
	An Adaptive Fuzzy Diagnosis System for On-Line Sensor Data Validation	131
	Fault-Tolerant Traction System Control Using Fuzzy Inference Modelling	137
	Can Chemical Process Industry Benefit from Analog Electronics Diagnosis Methods?	143
	Kernel Regression and Neural Networks for Model-Free Fault Diagnosis	149
	Pruning and Extraction of Qualitative Fault Diagnosis Rules from a Neural Network	155
	Diagnosis of Abrupt Faults Using Variable-Structure Neural Network	161
	Fault Detection in Paper Making (A Neural Network Approach)	167
	A Study on the Development of Robust Fault Diagnostic System Based on Neuro-Fuzzy Scheme	173
	Univariate and Multivariate Process Monitoring and Improvement	179
	Isolation Enhanced Principal Component Analysis	185
	Real-Time Monitoring for a Process with Multiple Operation Modes	191
	An Industrial Application of Principal Component Test to Fault Detection and Identification	201
	On-Line Monitoring of a batch PMMA Reactor	207
	Serial Identification with Collective Estimation of Gross Errors and Leaks in Process Plant Measurement	213
	Automated Interpretation of PCA-Based Process Monitoring and Fault Diagnosis Using Signed Digraphs	219
	Fault Diagnosis Expert System with Probability Calculations	225
	Scale-Space Filtering for Qualitative Interpretation of Real-Time Process Data	231
	Causal Model Based Supervising and Training	237
	SDG Model-Based Structures for Fault Detection	243
	Intelligent Control Methodologies for Control Strategy and Control Structure Selection	249
	A Method for Detection of Stiction in Control Valves	257
	Supervision of Complex Systems Using Functional, Structural and Bond Graph Models	263
	Early Detection of Alarm Situations Using Model Predictions	269
	Intelligent Sensor Auditing by Interfacing Knowledge-Based Systems and Multivariate SPM Tools	275
	Fault Detection and Isolation on a System of Heat Exchangers	281
	Robust Design of a Fault Diagnostic System for a Supersonic Wind Tunnel	287
	On-Line Sensor Fault Diagnosis and Accommodation: Application to a Three-Tank-System	293
	Suboptimal Conditions for Leakage Detectability in Pipelines	299
	Comparison of the Performances of Parametric Estimation, Time-Frequency, Wavelet and Segmentation with Detection of Abrupt Changes in Non-Destructive Evaluation	305
	Data Reconciliation as an On-Line Tool for Fault Detection and Process Supervision	311
	Sensor Failures Detection in Steam Condensers	317
	Detection and Isolation of Process Faults in an Industrial Boiler	323
	Process Supervision Based on Fuzzy Reasoning Application to an Urban Water Supply Network	329
	On-Line Performance Estimation and Condition Monitoring Using Neuro-Fuzzy Techniques	335
	Towards Self-Validating Control Loops	341
	Integrating On-Line and Off-Line Fault Detection for Process Safety	347
	Analysis of Post-Upset Plant Data for Fault Detection	353
	On-Line Event-Based Supervision of a Biotechnological Process	359
	Simultaneous Fault Detection of Heat Exchangers	365
	Linear Matrix Inequality Formulation of Fault-Tolerant Control Systems Design	371
	Hybrid FDI on Chemical Plants	377
	New Intrinsic Runaway Criteria and Their Application to the Model-Based On-Line-Monitoring of Continuous and Discontinuous Reactors	383
	Identification and Control of an Industrial Distillation Column: A Case Study	389
	Fault Detection for Continuous-Time Systems, The P.M.F. Identification Approach	395
	Process Integrity: A Framework for Extended and Safe Process Operation	401
	Author Index	407