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Intelligent Fault Diagnosis and Prognosis for Engineering Systems

takes a look at the cutting-edge discipline of intelligent fault diagnosis and failure prognosis technologies for condition-based maintenance;

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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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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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Intelligent Diagnosis and Prognosis of Industrial Networked Systems

in system analysis and design for engineering applications. Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear;

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Intelligent Diagnosis and Prognosis of Industrial Networked Systems

in system analysis and design for engineering applications. Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear;

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Machinery Prognostics and Prognosis Oriented Maintenance Management

technologies Offers practical case studies on performance evaluation and fault diagnosis technology, fault prognosis and remaining useful life;

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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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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

fault diagnosis and failure prognosis, and by providing a review of software that can be used for these tasks. The structured text;

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Data-driven Technology for Engineering System Health Management

construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the;

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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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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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Intelligent knowledge based systems in electrical power engineering

, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future;

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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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Fault Diagnosis for Robust Inverter Power Drives

. Fault Diagnosis for Robust Inverter Power Drives focuses on early diagnosis, prognosis, and intrinsic reliability of inverter power drives and;

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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 Remaining Useful Life Prediction of Rotating Machinery

Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent;

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Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I

in China held in Xi'an on November 25-28, 2013. The book presents state-of-the-art studies on the aviation maintenance, test, fault diagnosis, and;

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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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Batch Fermentation: Modeling

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

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Advanced Intelligent Systems for Sustainable Development AI2SD 2019

electromechanical systems, including sensorless control; fault diagnosis and fault-tolerant control of electric drives; and new control algorithms for power;

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Advanced Intelligent Systems for Sustainable Development (AI2SD'2019)

electromechanical systems, including sensorless control; fault diagnosis and fault-tolerant control of electric drives; and new control algorithms for power;

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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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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices

, classification, and fault diagnosis.;

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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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