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
Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-319-87192-9
Verlag: Springer International Publishing

Buch, Englisch, Band 9, 373 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 581 g

Reihe: Applied Condition Monitoring

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.

Zielgruppe

Research

Autoren/Hrsg.

Timofiejczuk, Anna

Chaari, Fakher

Haddar, Mohamed

Zimroz, Radoslaw

Bartelmus, Walter

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Zuverlässigkeitstechnik

Inhaltsverzeichnis

From the Content: Structural Health Monitoring of Aero-Engines in Non-Stationary Operations.- A New Approach to Tune the Vold-Kalman Estimator for Order Tracking.- Estimation of Cyclic Cumulants of Machinery Vibration Signals in Non-stationary Operation.