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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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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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Bayesian Networks

Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main;

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Artificial Intelligence Tools

approaches to fault diagnosis in condition monitoring (CM). This indispensable resource: Addresses nearest-neighbor-based, clustering-based;

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Artificial Intelligence Tools

approaches to fault diagnosis in condition monitoring (CM). This indispensable resource: Addresses nearest-neighbor-based;

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Power System Fault Diagnosis

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive overview of the growing interests;

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural;

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Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems

This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The;

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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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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults 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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New Developments in Computer Networks

cluster; fuzzy-based controller for improvement of network performance; multi-layer perceptron artificial neural network; fault detection and;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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Bayesian Artificial Intelligence

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main;

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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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Managing Data Mining Technologies in Organizations

, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others. The chapters discuss research results and applications;

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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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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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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 for Robust Inverter Power Drives

financing. This book explores fault diagnosis of inverter drives to enable early diagnosis and robust design for efficient long life operation;

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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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Induction Motor Fault Diagnosis

This book covers the diagnosis and assessment of the various faults which can occur in a three phase induction motor, namely rotor broken;

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Knowledge-Driven Board-Level Functional Fault Diagnosis

. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system;

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Advances in Fault Detection and Diagnosis Using Filtering Analysis

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection;

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