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Vibration-Based Condition Monitoring of Wind Turbines

  • Tomasz Barszcz

Part of the Applied Condition Monitoring book series (ACM, volume 14)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Tomasz Barszcz
    Pages 1-32
  3. Tomasz Barszcz
    Pages 33-86
  4. Tomasz Barszcz
    Pages 87-120
  5. Tomasz Barszcz
    Pages 121-148
  6. Tomasz Barszcz
    Pages 149-204
  7. Tomasz Barszcz
    Pages 205-215

About this book

Introduction

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.

Keywords

Online Condition Monitoring Systems Portable Data Analyzers SCADA Systems Signal Envelope Signal Resampling Synchronous Analysis Vibration Sensors Wind Turbine Failures

Authors and affiliations

  • Tomasz Barszcz
    • 1
  1. 1.AGH University of Science and TechnologyKrakówPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-05971-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-05969-9
  • Online ISBN 978-3-030-05971-2
  • Series Print ISSN 2363-698X
  • Series Online ISSN 2363-6998
  • Buy this book on publisher's site