Unlimited

Authorized users

Can lend chapters, not whole ebooks

Condition monitoring algorithms in MATLAB® / Adam Jablonski.

9783030627492 (electronic bk.)
3030627497 (electronic bk.)
9783030627485
3030627489

Cham : Springer, [2021]

English

1 online resource (xxv, 527 pages) : illustrations (chiefly color)

10.1007/978-3-030-62749-2 doi

TJ153

621.8/160285

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

Includes bibliographical references and index.

Access limited to authorized users.

text file
PDF

Online resource; title from PDF title page (SpringerLink, viewed March 11, 2021).

Springer tracts in mechanical engineering. 2195-9862

Print version: 3030627489

Online Resources > Ebooks
All Resources