Electronic Resource

Model-based health monitoring of hybrid systems

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This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosis\prognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid system—a vehicle steering control system—is studied using the developed fault diagnosis methods to show practical significance.

Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems. The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems.

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Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

E1072

Penerbit

New York : Springer, NY., 2013

Deskripsi Fisik

xii, 297 hlm.

Bahasa

English

ISBN/ISSN

9781461473695

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Robotik

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Danwei Wang , Ming Yu , Chang Boon Low , Shai Arogeti

Versi lain/terkait

Lampiran Berkas

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