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Condition monitoring with vibration ...

Nandi, Asoke Kumar.

Condition monitoring with vibration signals : = compressive sampling and learning algorithms for rotating machines /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Condition monitoring with vibration signals :/ Hosameldin Ahmed and Asoke K. Nandi.
Reminder of title:	compressive sampling and learning algorithms for rotating machines /
Author:	Ahmed, Hosameldin,
other author:	Nandi, Asoke Kumar.
Published:	Hoboken, NJ, USA :Wiley-IEEE Press, : c2020.,
Description:	xxix, 404 p., [22] p. of plates :ill. (some col.) ; : 25 cm. ;
Subject:	Machinery - Monitoring. -
ISBN:	9781119544623 :

Condition monitoring with vibration signals : = compressive sampling and learning algorithms for rotating machines /
Ahmed, Hosameldin,1976-

Condition monitoring with vibration signals :compressive sampling and learning algorithms for rotating machines /Hosameldin Ahmed and Asoke K. Nandi. - Hoboken, NJ, USA :Wiley-IEEE Press,c2020. - xxix, 404 p., [22] p. of plates :ill. (some col.) ;25 cm.

Includes bibliographical references and index.

"This book attempts to outline the complete guide from the basics of rotating machine to the generation of knowledge using vibration signals. It is provided with an introduction to rotating machine and vibration signals produced from it at a level which can be easily understood by readers such as post-graduate students, researchers, and practicing engineers. The introduction helps those readers to get introduced to the basic knowledge needed to appreciate the specific application of the methods in this book. Based on the stages of machine condition monitoring framework and the aim to design an effective technique for fault detection and classification of rotating machine, a major part of the book will cover various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. Moreover, this book presents new methods including machine learning and compressive sampling. These offer significant improvements in accuracy with reduced computational costs. It is important that these are made available to all researchers as well as practitioners and new people coming into this field to help improve safety, reliability, and performance"--

ISBN: 9781119544623 :NT4123

LCCN: 2019024456Subjects--Topical Terms:

1060920
Machinery
--Monitoring.

LC Class. No.: TJ177 / .N36 2019

Dewey Class. No.: 621.8028/7

Condition monitoring with vibration signals : = compressive sampling and learning algorithms for rotating machines /
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020 $a 9781119544623 : $c NT4123
020 $a 9781119544630 (adobe pdf)
020 $a 9781119544647 (epub)
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040 $a DLC $b eng $c DLC $d NFU
041 0 # $a eng
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050 0 0 $a TJ177 $b .N36 2019
082 0 0 $a 621.8028/7 $2 23
100 1 $a Ahmed, Hosameldin, $d 1976- $3 1225264
245 1 0 $a Condition monitoring with vibration signals : $b compressive sampling and learning algorithms for rotating machines / $c Hosameldin Ahmed and Asoke K. Nandi.
260 # $a Hoboken, NJ, USA : $b Wiley-IEEE Press, $c c2020.
300 $a xxix, 404 p., [22] p. of plates : $b ill. (some col.) ; $c 25 cm.
504 $a Includes bibliographical references and index.
520 # $a "This book attempts to outline the complete guide from the basics of rotating machine to the generation of knowledge using vibration signals. It is provided with an introduction to rotating machine and vibration signals produced from it at a level which can be easily understood by readers such as post-graduate students, researchers, and practicing engineers. The introduction helps those readers to get introduced to the basic knowledge needed to appreciate the specific application of the methods in this book. Based on the stages of machine condition monitoring framework and the aim to design an effective technique for fault detection and classification of rotating machine, a major part of the book will cover various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. Moreover, this book presents new methods including machine learning and compressive sampling. These offer significant improvements in accuracy with reduced computational costs. It is important that these are made available to all researchers as well as practitioners and new people coming into this field to help improve safety, reliability, and performance"-- $c Provided by publisher.
650 # 0 $a Machinery $x Monitoring. $3 1060920
650 # 0 $a Machinery $x Vibration $x Measurement. $3 1225265
650 # 0 $a Rotors $x Maintenance and repair. $3 1135197
700 1 # $a Nandi, Asoke Kumar. $3 1058921