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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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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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Combustion Engine Diagnosis

This book offers first a short introduction to advanced supervision, fault detection and diagnosis methods. It then describes model-based;

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Fault-Diagnosis Applications: Model-Based Condition Monitoring

Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes;

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Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems

Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes;

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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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Multi model Jumping Systems Robust Filtering and Fault Detection

well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the;

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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

, both model-based and data-driven schemes are investigated.To allow for a self-contained study and enable an easy implementation in real;

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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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Fault Detection

for the airspeed sensor on a small UAV; and model-based fault diagnosis for industrial mobile robots.;

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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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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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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

Control and Complex Systems (AKS), University of Duisburg-Essen, Germany, in 2020. His research interests include model-based and data-driven;

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

under rotor-tilt axle stuck fault; an unknown input observer based framework for fault and icing detection and accommodations in overactuated;

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Fault Diagnosis: Models, Artificial Intelligence, Applications

. It covers fundamentals of model-based fault diagnosis in a wide context, providing a good introduction to the theoretical foundation and many;

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Bond Graph Model-based Fault Diagnosis of Hybrid Systems

, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art;

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Gas Turbine Diagnostics

fault detection Innovative nonlinear filters for data cleaning developed using optimization methods An edge detector based on gradient and;

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Gas Turbine Diagnostics

detection Innovative nonlinear filters for data cleaning developed using optimization methods An edge detector based on gradient and Laplacian;

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Batch Fermentation: Modeling

operations; and designing integrated real-time intelligent knowledge-based systems for process monitoring and fault diagnosis.;

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Power Plant Surveillance and Diagnostics

contributions through a thorough peer-reviewing process. Condition Monitoring and Early Fault Detection provide for better efficiency of energy systems;

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Solving Fault Diagnosis Problems

diagnosis on the basis of linear models are well understood, most of the computational methods proposed for the synthesis of fault detection and;

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault;

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Fault Detection and Diagnosis in Engineering Systems

Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical;

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