Overview
- Describes cutting-edge methods for vibration analysis of wind turbine drivetrains
- Presents a broad spectrum of signal processing methods, from simple to advanced ones
- Reports on numerous examples and case studies
Part of the book series: Applied Condition Monitoring (ACM, volume 14)
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Table of contents (6 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Vibration-Based Condition Monitoring of Wind Turbines
Authors: Tomasz Barszcz
Series Title: Applied Condition Monitoring
DOI: https://doi.org/10.1007/978-3-030-05971-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-05969-9Published: 17 December 2018
eBook ISBN: 978-3-030-05971-2Published: 04 December 2018
Series ISSN: 2363-698X
Series E-ISSN: 2363-6998
Edition Number: 1
Number of Pages: XX, 215
Number of Illustrations: 41 b/w illustrations, 115 illustrations in colour
Topics: Vibration, Dynamical Systems, Control, Renewable and Green Energy, Signal, Image and Speech Processing