04728nam 22008535 450 991025421360332120200706175634.03-319-20463-710.1007/978-3-319-20463-5(CKB)3710000000449517(EBL)3567758(SSID)ssj0001534587(PQKBManifestationID)11892100(PQKBTitleCode)TC0001534587(PQKBWorkID)11496197(PQKB)11496101(DE-He213)978-3-319-20463-5(MiAaPQ)EBC3567758(PPN)187688028(EXLCZ)99371000000044951720150716d2016 u| 0engur|n|---|||||txtccrAdvances 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 /edited by Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (483 p.)Applied Condition Monitoring,2363-698X ;4Description based upon print version of record.3-319-20462-9 Includes bibliographical references.Part 1. Signal Processing -- Part 2. Data Mining -- Part 3. Condition Monitoring Techniques.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.Applied Condition Monitoring,2363-698X ;4MachinerySignal processingImage processingSpeech processing systemsQuality controlReliabilityIndustrial safetyVibrationDynamical systemsDynamicsMachinery and Machine Elementshttps://scigraph.springernature.com/ontologies/product-market-codes/T17039Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Quality Control, Reliability, Safety and Riskhttps://scigraph.springernature.com/ontologies/product-market-codes/T22032Vibration, Dynamical Systems, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/T15036Machinery.Signal processing.Image processing.Speech processing systems.Quality control.Reliability.Industrial safety.Vibration.Dynamical systems.Dynamics.Machinery and Machine Elements.Signal, Image and Speech Processing.Quality Control, Reliability, Safety and Risk.Vibration, Dynamical Systems, Control.620Chaari Fakheredthttp://id.loc.gov/vocabulary/relators/edtZimroz Radoslawedthttp://id.loc.gov/vocabulary/relators/edtBartelmus Walteredthttp://id.loc.gov/vocabulary/relators/edtHaddar Mohamededthttp://id.loc.gov/vocabulary/relators/edtBOOK9910254213603321Advances in Condition Monitoring of Machinery in Non-Stationary Operations1540594UNINA