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Vibration-based condition monitoring...

Barszcz, Tomasz.

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Vibration-based condition monitoring of wind turbines

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vibration-based condition monitoring of wind turbines/ by Tomasz Barszcz.
Author:	Barszcz, Tomasz.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xx, 215 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Standard Vibration Analysis Methods -- Condition Monitoring Systems -- Signal Preprocessing and Validation -- Advanced Analysis Methods -- Further Research.
Contained By:	Springer eBooks
Subject:	Wind turbines - Vibration. -
Online resource:	https://doi.org/10.1007/978-3-030-05971-2
ISBN:	9783030059712

Vibration-based condition monitoring of wind turbines
Barszcz, Tomasz.

Vibration-based condition monitoring of wind turbines[electronic resource] /by Tomasz Barszcz. - Cham :Springer International Publishing :2019. - xx, 215 p. :ill., digital ;24 cm. - Applied condition monitoring,v.142363-698X ;. - Applied condition monitoring ;v.14..

Introduction -- Standard Vibration Analysis Methods -- Condition Monitoring Systems -- Signal Preprocessing and Validation -- Advanced Analysis Methods -- Further Research.

This book describes in detail different types of vibration signals and the signal processing methods, including signal resampling and signal envelope, used for condition monitoring of drivetrains. A special emphasis is placed on wind turbines and on the fact that they work in highly varying operational conditions. The core of the book is devoted to cutting-edge methods used to validate and process vibration data in these conditions. Key case studies, where advanced signal processing methods are used to detect failures of gearboxes and bearings of wind turbines, are described and discussed in detail. Vibration sensors, SCADA (Supervisory Control and Data Acquisition), portable data analyzers and online condition monitoring systems, are also covered. This book offers a timely guide to both researchers and professionals working with wind turbines (but also other machines), and to graduate students willing to extend their knowledge in the field of vibration analysis.

ISBN: 9783030059712

Standard No.: 10.1007/978-3-030-05971-2doiSubjects--Topical Terms:

3217145
Wind turbines
--Vibration.

LC Class. No.: TJ828 / .B377 2019

Dewey Class. No.: 621.45

Vibration-based condition monitoring of wind turbines
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100 1 $a Barszcz, Tomasz. $3 3383070
245 1 0 $a Vibration-based condition monitoring of wind turbines $h [electronic resource] / $c by Tomasz Barszcz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xx, 215 p. : $b ill., digital ; $c 24 cm.
490 1 $a Applied condition monitoring, $x 2363-698X ; $v v.14
505 0 $a Introduction -- Standard Vibration Analysis Methods -- Condition Monitoring Systems -- Signal Preprocessing and Validation -- Advanced Analysis Methods -- Further Research.
520 $a This book describes in detail different types of vibration signals and the signal processing methods, including signal resampling and signal envelope, used for condition monitoring of drivetrains. A special emphasis is placed on wind turbines and on the fact that they work in highly varying operational conditions. The core of the book is devoted to cutting-edge methods used to validate and process vibration data in these conditions. Key case studies, where advanced signal processing methods are used to detect failures of gearboxes and bearings of wind turbines, are described and discussed in detail. Vibration sensors, SCADA (Supervisory Control and Data Acquisition), portable data analyzers and online condition monitoring systems, are also covered. This book offers a timely guide to both researchers and professionals working with wind turbines (but also other machines), and to graduate students willing to extend their knowledge in the field of vibration analysis.
650 0 $a Wind turbines $x Vibration. $3 3217145
650 0 $a Wind turbines $x Aerodynamics. $3 2071816
650 1 4 $a Vibration, Dynamical Systems, Control. $3 893843
650 2 4 $a Renewable and Green Energy. $3 928108
650 2 4 $a Signal, Image and Speech Processing. $3 891073
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830 0 $a Applied condition monitoring ; $v v.14. $3 3383071
856 4 0 $u https://doi.org/10.1007/978-3-030-05971-2
950 $a Engineering (Springer-11647)