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Knowledge-Driven Board-Level Functional Fault Diagnosis

and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board;

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

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis;

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Monitoring Multimode Continuous Processes

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and;

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Monitoring Multimode Continuous Processes

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and;

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Advanced methods for fault diagnosis and fault-tolerant control

The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant;

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

autonomous systems. The book provides an overview of research in this field to-date, and addresses advanced topics including fault diagnosis and;

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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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Process Control System Fault Diagnosis A

Process Control System Fault Diagnosis: A Bayesian Approach Ruben T. Gonzalez, University of Alberta, Canada Fei Qi, Suncor Energy Inc;

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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical;

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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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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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Fault Diagnosis and Sustainable Control of Wind Turbines

Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development;

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Data-driven Technology for Engineering System Health Management

construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

This book shows in a comprehensive presentation how Bond Graph methodology can support model-based control, model-based fault diagnosis;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

This book shows in a comprehensive presentation how Bond Graph methodology can support model-based control, model-based fault diagnosis;

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Fault Diagnosis of Hybrid Dynamic and Complex Systems

Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors;

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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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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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Fault Diagnosis: Models, Artificial Intelligence, Applications

This comprehensive work presents the status and likely development of fault diagnosis, an emerging discipline of modern control engineering;

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Advanced Automotive Fault Diagnosis

complex there is a greater need for good diagnostic skills. Advanced Automotive Fault Diagnosis is the only book to treat automotive diagnostics;

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Bayesian Networks In Fault Diagnosis

Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic;

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Testing of Digital Systems

-test of digital circuits before moving on to more advanced topics such as IDDQ testing, functional testing, delay fault testing, memory testing;

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Intelligent Fault Diagnosis and Accommodation Control

degrade to an unacceptable level, causing more regular fault occurrences. It is therefore necessary to diagnose faults and provide the fault;

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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

fault diagnosis and fault-tolerant techniques.;

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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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Electric Machines

precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis;

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Electric Machines

precisely detect or continuously monitor the working condition of a motor. Electric Machines: Modeling, Condition Monitoring, and Fault Diagnosis;

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