Condition monitoring algorithms in MATLAB® / Adam Jablonski.
2021
TJ153
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Can lend chapters, not whole ebooks
Details
Title
Condition monitoring algorithms in MATLAB® / Adam Jablonski.
Author
Jablonski, Adam, author.
ISBN
9783030627492 (electronic bk.)
3030627497 (electronic bk.)
9783030627485
3030627489
3030627497 (electronic bk.)
9783030627485
3030627489
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (xxv, 527 pages) : illustrations (chiefly color)
Other Standard Identifiers
10.1007/978-3-030-62749-2 doi
Call Number
TJ153
Dewey Decimal Classification
621.8/160285
Summary
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
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 11, 2021).
Series
Springer tracts in mechanical engineering. 2195-9862
Available in Other Form
Print version: 3030627489
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Online Access
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Table of Contents
Introduction
Principles of condition monitoring systems
Vibration components generated by rotary machinery
Signal processing algorithms
Vibration-based condition assessment methods
Synthetic signals generation methods
Simulating operational signals
Simulating long-term machine fault development
Analysis of long-term fault development
Connecting MATLAB® to CMS
Development of interface for direct data access (DDA)
Prototype tools.
Principles of condition monitoring systems
Vibration components generated by rotary machinery
Signal processing algorithms
Vibration-based condition assessment methods
Synthetic signals generation methods
Simulating operational signals
Simulating long-term machine fault development
Analysis of long-term fault development
Connecting MATLAB® to CMS
Development of interface for direct data access (DDA)
Prototype tools.