Editors:
- Presents cutting-edge methods for machinery diagnostics
- Describes advanced models of non-stationary signals of machinery
- Includes advanced signal processing methods for the analysis of non-stationary processes
- Includes supplementary material: sn.pub/extras
Part of the book series: Applied Condition Monitoring (ACM, volume 9)
Conference series link(s): CMMNO: International Conference on Condition Monitoring of Machinery in Non-Stationary Operations
Conference proceedings info: CMMNO 2016.
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Table of contents (34 papers)
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Front Matter
Other Volumes
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Advances in Condition Monitoring of Machinery in Non-Stationary Operations
About this book
This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.
Editors and Affiliations
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Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland
Anna Timofiejczuk
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National School of Engineers of Sfax, Sfax, Tunisia
Fakher Chaari, Mohamed Haddar
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Institute of Mining Engineering, Wrocław University of Technology, Wrocław, Poland
Radoslaw Zimroz, Walter Bartelmus
Bibliographic Information
Book Title: Advances in Condition Monitoring of Machinery in Non-Stationary Operations
Book Subtitle: Proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2016, 12–16 September 2016, Gliwice, Poland
Editors: Anna Timofiejczuk, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar
Series Title: Applied Condition Monitoring
DOI: https://doi.org/10.1007/978-3-319-61927-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-61926-2Published: 22 September 2017
Softcover ISBN: 978-3-319-87192-9Published: 11 September 2018
eBook ISBN: 978-3-319-61927-9Published: 20 September 2017
Series ISSN: 2363-698X
Series E-ISSN: 2363-6998
Edition Number: 1
Number of Pages: X, 373
Number of Illustrations: 47 b/w illustrations, 159 illustrations in colour
Topics: Vibration, Dynamical Systems, Control, Signal, Image and Speech Processing, Mathematical Modeling and Industrial Mathematics, Manufacturing, Machines, Tools, Processes
Industry Sectors: Aerospace, Automotive, Electronics, Energy, Utilities & Environment, Engineering, Materials & Steel, Oil, Gas & Geosciences