Advances in Condition Monitoring of Machinery in Non-Stationary Operations Proceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /

This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece o...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fernandez Del Rincon, Alfonso (Editor), Viadero Rueda, Fernando (Editor), Chaari, Fakher (Editor), Zimroz, Radoslaw (Editor), Haddar, Mohamed (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Applied Condition Monitoring, 15
Subjects:
Manufactures.
Multibody systems.
Vibration.
Mechanics, Applied.
Signal processing.
Mathematical physics.
Machines, Tools, Processes.
Multibody Systems and Mechanical Vibrations.
Signal, Speech and Image Processing.
Theoretical, Mathematical and Computational Physics.
Online Access:Full-text access
Description
Summary:This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. 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'2018, held on June 20 - 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.
Physical Description:XI, 423 p. 274 illus., 218 illus. in color. online resource.
ISBN:9783030112202
ISSN:2363-6998 ;
DOI:10.1007/978-3-030-11220-2

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