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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fernandez Del Rincon, Alfonso (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Viadero Rueda, Fernando (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Chaari, Fakher (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zimroz, Radoslaw (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Haddar, Mohamed (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Applied Condition Monitoring, 15
• Θέματα: Manufactures.; Vibration.; Dynamical systems.; Dynamics.; Signal processing.; Image processing.; Speech processing systems.; Physics.; Manufacturing, Machines, Tools, Processes.; Vibration, Dynamical Systems, Control.; Signal, Image and Speech Processing.; Numerical and Computational Physics, Simulation.
• Φυσική περιγραφή: XI, 423 p. 274 illus., 218 illus. in color. online resource.
• ISBN: 9783030112202
• ISSN: 2363-698X ;
• DOI: 10.1007/978-3-030-11220-2

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.