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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Batch Fermentation: Modeling

real-time process supervision, and fault detection and diagnosis, Batch Fermentation offers valuable simulation and control;

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Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems

, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering;

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Process Control System Fault Diagnosis A

and researchers as a monograph and as a reference for state-of-the-art techniques in control system performance monitoring and fault diagnosis;

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Chemical Process Performance Evaluation

Performance Evaluation introduces statistical methods and modeling techniques for process monitoring, performance evaluation, and fault diagnosis;

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Advanced and Intelligent Computations in Diagnosis and Control

research and the development of innovative approaches to fault diagnosis. The contributions combine domains of engineering knowledge for diagnosis;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text;

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Synchronized Phasor Measurements for Smart Grids

, classification and localization in smart power grids; PMU-based vulnerability assessment of power systems; synchrophasor applications for load estimation;

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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as;

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Fault Diagnosis and Reconfiguration in Flight Control Systems

The problem of fault diagnosis and reconfigurable control is a new and actually developing field of science and engineering. The subject;

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Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes;

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Advances in State Estimation, Diagnosis and Control of Complex Systems

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the;

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Advances in State Estimation, Diagnosis and Control of Complex Systems

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the;

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Wind Turbine Control and Monitoring

diagnosis; power converter systems; and cooperative & fault-tolerant control systems for maximizing the wind power generation and reducing the;

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Observer Design for Control and Fault Diagnosis of Boolean Networks

performance of the observers has been evaluated thoroughly. Furthermore, methods for output tracking control and fault diagnosis of BCNs have been;

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Intelligent Condition Based Monitoring

design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything;

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Intelligent Condition Based Monitoring

design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything;

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Fault Detection

of fault detection including the introduction of an automatic, effective but simpler-to-use system for fault diagnosis in bearings; the monitoring;

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Electro-Mechanical Actuators for the More Electric Aircraft

for fault diagnosis and condition monitoring are then reviewed. The core of the book focuses on the presentation of relevant case studies;

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Electro-Mechanical Actuators for the More Electric Aircraft

for fault diagnosis and condition monitoring are then reviewed. The core of the book focuses on the presentation of relevant case studies;

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Intelligent Fault Diagnosis and Accommodation Control

technologies in the area of fault diagnosis, covering fault analysis and control strategies of design for various applications. The book addresses four;

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Fault Estimation for Network Systems via Intermediate Estimator

be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be used as a;

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Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine;

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Fuzzy Control, Estimation and Diagnosis

of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering;

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Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems

; distributed fault detection and isolation strategy for a team of cooperative mobile manipulators; nonlinear optimal control for aerial robotic;

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and;

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