Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2016, 12–16 September 2016, Gliwice, Poland

Nonfiction, Science & Nature, Technology, Engineering, Mechanical, Electronics
Cover of the book Advances in Condition Monitoring of Machinery in Non-Stationary Operations by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319619279
Publisher: Springer International Publishing Publication: September 20, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319619279
Publisher: Springer International Publishing
Publication: September 20, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Regulations and International Trade by
Cover of the book The Political Theory of Modus Vivendi by
Cover of the book Finite Blaschke Products and Their Connections by
Cover of the book Medical Writing and Research Methodology for the Orthopaedic Surgeon by
Cover of the book Beg to Differ by
Cover of the book Food Advertising by
Cover of the book Electromagnetic Seabed Logging by
Cover of the book Men, Fathering and the Gender Trap by
Cover of the book OSS Reliability Measurement and Assessment by
Cover of the book Tunneling Dynamics in Open Ultracold Bosonic Systems by
Cover of the book Myasthenia Gravis and Related Disorders by
Cover of the book The Semantic Web – ISWC 2017 by
Cover of the book Gendering Drugs by
Cover of the book Anticipating Future Innovation Pathways Through Large Data Analysis by
Cover of the book The Biceps and Superior Labrum Complex by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy