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Algorithms for Fault Detection and Diagnosis

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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 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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Advances in Fault Detection and Diagnosis Using Filtering Analysis

valuable guide for students, teachers, engineers and researchers in the field of fault detection and diagnosis.;

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Solving Fault Diagnosis Problems

approach to fault detection and diagnosis has been the subject of ongoing research for the past few decades. While the theoretical aspects of fault;

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Combustion Engine Diagnosis

methods of fault detection and diagnosis for the main components of gasoline and diesel engines, such as the intake system, fuel supply, fuel;

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Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems gives a systematic description of the many facets;

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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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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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Model-Based Fault Diagnosis Techniques

systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification;

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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 Detection

for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who;

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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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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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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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Fuzzy Control, Estimation and Diagnosis

, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach;

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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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Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection

Motor monitoring, incipient fault detection, and diagnosis are important and difficult topics in the engineering field. These topics deal;

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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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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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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

to improve fault diagnosis in gas turbine engines, particularly jet engines. The algorithms focus on removing noise and outliers while;

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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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Detection and Estimation Research of High-speed Railway Catenary

catenary geometry, pantograph slide fault, and catenary support system faults. It also introduces wire-irregularity detection methods for catenary;

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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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Intelligent Fault Diagnosis and Accommodation Control

design technologies for fault detection, isolation and identification as well as fault-tolerant control. These models are also used to analyse;

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Deep Learning Applications Volume 2

focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident;

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