Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17: Applied Condition Monitoring, cartea 4
Editat de Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddaren Limba Engleză Hardback – 24 iul 2015
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Specificații
ISBN-13: 9783319204628
ISBN-10: 3319204629
Pagini: 600
Ilustrații: XI, 494 p. 295 illus., 248 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.89 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Applied Condition Monitoring
Locul publicării:Cham, Switzerland
ISBN-10: 3319204629
Pagini: 600
Ilustrații: XI, 494 p. 295 illus., 248 illus. in color.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.89 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Applied Condition Monitoring
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Part 1. Signal Processing.- Part 2. Data Mining.- Part 3. Condition Monitoring Techniques.
Textul de pe ultima copertă
The book provides readers with a snapshot of recent research and technological trends in the field of condition monitoring of machinery working under a broad range of operating conditions. Each chapter, accepted after a rigorous peer-review process, reports on an original piece of work presented and discussed at the 4th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO 2014, held on December 15-16, 2014, in Lyon, France. The contributions have been grouped into three different sections according to the main subfield (signal processing, data mining, or condition monitoring techniques) they are related to. The book includes both theoretical developments as well as a number of industrial case studies, in different areas including, but not limited to: noise and vibration; vibro-acoustic diagnosis; signal processing techniques; diagnostic data analysis; instantaneous speed identification; monitoring and diagnostic systems; and dynamic and fault modeling. This book not only provides a valuable resource for both academics and professionals in the field of condition monitoring, it also aims at facilitating communication and collaboration between the two groups.
Caracteristici
Reports on the latest research trends and advanced solutions for machine condition monitoring Includes both theory and case studies Offers a hands-on reference guide to signal-processing techniques, data mining and condition monitoring of machines under non-stationary conditions Includes supplementary material: sn.pub/extras