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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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Multi model Jumping Systems Robust Filtering and Fault Detection

modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems;

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Fault Detection

and diagnosis of discrete event systems using time petri nets; fault detection and diagnosis using statistical and soft computing methods.;

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered;

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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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On-Line Fault Diagnosis and Failure Prognosis Using Particle Filters

This work introduces an on-line particle-filtering-based framework for fault diagnosis and failure prognosis in nonlinear, non-Gaussian;

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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 and Prognosis Techniques for Complex Engineering Systems

analysis, reliability design, fault and failure detection, signal processing, and fault tolerant control of engineering systems.

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Adaptive Filtering and Change Detection

reduction of undesired elements. Change detection is another kind of adaptive filtering for non--stationary signals, and is the basic tool in fault;

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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

turbines; induction motor fault detection based on vibration analysis and support vector machines; failure detection and accommodation approaches;

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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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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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Power Plant Surveillance and Diagnostics

.- Noise analysis methods for early fault detection, condition monitoring, leak detection and loose part monitoring.- Predictive maintenance and;

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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: 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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Chemical Process Performance Evaluation

authors examine fault diagnosis techniques based on episodes, hidden Markov models, contribution plots, discriminant analysis, and support vector;

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Electric Machines

method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature;

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Electric Machines

method, and finite element analysis. It then examines how to implement fault diagnosis using techniques such as the motor current signature;

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Algorithms for Fault Detection and Diagnosis

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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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Induction Motor Fault Diagnosis

analysis of stator current Concordia and (ii) diagnosis through envelope analysis of motor startup current using Hilbert and Wavelet Transforms;

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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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Analysis and Synthesis of Switched Time-Delay Systems

. It covers the stability, filtering, fault detection and control problems, which are studied using the average dwell time approach. It;

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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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