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Condition Monitoring Algorithms in MATLAB®

  • Book
  • © 2021

Overview

Authors:
  1. Adam Jablonski

    1. Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Krakow, Poland

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  • Offers a comprehensive reference guide to signal processing algorithms used in condition monitoring
  • Shows how to use MATLAB® to generate simulated vibration signals
  • Covers vibration-based analysis techniques for large data sets

Part of the book series: Springer Tracts in Mechanical Engineering (STME)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Introduction

    • Adam Jablonski
    Pages 1-9

  3. Principles of Condition Monitoring Systems

    • Adam Jablonski
    Pages 11-29

  4. Vibration Components Generated by Rotary Machinery

    • Adam Jablonski
    Pages 31-47

  5. Signal Processing Algorithms

    • Adam Jablonski
    Pages 49-194

  6. Vibration-Based Condition Assessment Methods

    • Adam Jablonski
    Pages 195-241

  7. Synthetic Signals Generation Methods

    • Adam Jablonski
    Pages 243-312

  8. Simulating Operational Signals

    • Adam Jablonski
    Pages 313-343

  9. Simulating Long-Term Machine Fault Development

    • Adam Jablonski
    Pages 345-372

  10. Analysis of Long-Term Fault Development

    • Adam Jablonski
    Pages 373-440

  11. Connecting MATLAB® to CMS

    • Adam Jablonski
    Pages 441-483

  12. Development of Interface for Direct Data Access (DDA)

    • Adam Jablonski
    Pages 485-499

  13. Prototype Tools

    • Adam Jablonski
    Pages 501-521

  14. Back Matter

    Pages 523-527
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Keywords

About this book

This book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLAB®. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLAB®. In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLAB® .NET Libraries is also included. Bridging between research and practice, this book offers an extensive guide on condition monitoring algorithms to both scholars and professionals.

“Condition Monitoring Algorithms in MATLAB® is a great resource for anyone in the field of condition monitoring. It is a unique as it presents the theory, and a number of examples in Matlab®, which greatly improve the learning experience. It offers numerous examples of coding styles in Matlab, thus supporting graduate students and professionals writing their own codes."

Dr. Eric Bechhoefer

Founder and CEO of GPMS

Developer of the Foresight MX Health and Usage Monitoring System


Authors and Affiliations

  • Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Krakow, Poland

    Adam Jablonski

About the author

Adam Jablonski is a lecturer in the Department of Robotics and Mechatronics of the Faculty of Mechanical Engineering and Robotics at the AGH University of Science and Technology in Krakow, Poland. He has been also working in the industry. After few years of experience as a diagnostic engineer, he became a senior research analyst in the field of condition monitoring systems of rotary machinery. He developed numerous pioneering signal processing methods, including Protrugram, ICPCP (patent No. PL223044B1 upgraded to ICPCM), a method for automatic validation of vibration signals and a model-based threshold configuration in distributed CMS, among others. He graduated from Central Texas College (USA) with Highest Honors (2004), and from AGH University of Science and Technology (Bachelor - 2006, Master - 2008, PhD - 2013). He is the author of nearly one hundred publications in the field of condition monitoring systems, signal processing, and machine diagnostics. He received the Polish Prime Minister Scientific Award in 2014, and won the Outstanding Young Scientists competition of the Polish Ministry of Science and Higher Education in 2013. Since 2018, he has been a Member of the Board of Directors (International Liaison) of the Society for Machinery Failure Prevention Technology (MFPT). He is also an active peer reviewer in the field of measurement and a member of the MathWorks® Book Program.

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