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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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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 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 Condition Monitoring and Fault Diagnosis of Electric Machines

. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to;

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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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Vibration-based Condition Monitoring - Industrial, Automotive and Aerospace Applications, Second Edition

, since causal processing gives no benefit for condition monitoring A discussion of fault detection, diagnosis and prognosis in rotating and;

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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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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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Batch Fermentation: Modeling

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

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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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Condition Monitoring and Faults Diagnosis of Induction Motors

applied to fault diagnosis and condition monitoring. Integrates concepts and practical implementation of electrical signature analysis;

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Condition Monitoring with Vibration Signals

Monitoring using Learning Algorithms; Classification Algorithms; and New Fault Diagnosis Frameworks designed for MCM. Readers will learn signal;

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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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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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Vibration Monitoring of Induction Motors

Master the art of vibration monitoring of induction motors with this unique guide to on-line condition assessment and fault diagnosis;

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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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Electro-Mechanical Actuators for the More Electric Aircraft

This book presents recent results on fault diagnosis and condition monitoring of airborne electromechanical actuators, illustrating both;

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Electro-Mechanical Actuators for the More Electric Aircraft

This book presents recent results on fault diagnosis and condition monitoring of airborne electromechanical actuators, illustrating both;

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

systems is provided, covering H -optimization-based fault diagnosis, H -filtering-based fault diagnosis, parity space-based fault diagnosis, Krein;

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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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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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Machinery Condition Monitoring

experience Machinery Condition Monitoring: Principles and Practices presents the latest techniques in fault diagnosis and prognosis, provides many;

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Machinery Condition Monitoring

Find the Fault in the Machines Drawing on the author's more than two decades of experience with machinery condition monitoring and;

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Bayesian Networks In Fault Diagnosis

, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault;

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