This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: <ul> <li>Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities.</li> <li>Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective.</li> <li>Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system.</li> <li>Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems.</li> <li>Includes simulation examples in each chapter to reflect the engineering practice.</li> </ul> This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

Engineering & Transportation

Wang, Zidong

ZHANG YONG

Yuan, Ye

Engineering

CRC-Press

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications (Cambridge Series in Chemical Engineering)

Vassiliadis, Vassilios S.

Kähm, Walter

del Rio Chanona, Ehecatl Antonio

Cambridge University Press

Aesop's Fables (Illustrated Book) (Chinese Edition)

North China Women and children Publishing House

Latent Factor Analysis for High-dimensional and Sparse Matrices: A particle swarm optimization-based approach (SpringerBriefs in Computer Science)

Computers & Technology

Luo, Xin

Computer Science

Springer

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Books by Yuan, Ye