Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Oktober 2016
Genre:	Naturwissensch., Medizin, Technik
	C / Civil Engineering / Digital and Analog Signal Processing / Dynamical systems / Dynamics / engineering / Image processing / Imaging systems & technology / Industrial and Production Engineering / Industrial safety / Machinery / Machinery and Machine Elements / Mechanics of solids / quality control / Quality Control, Reliability, Safety and Risk / reliability / Reliability engineering / Signal Processing / Signal, Image and Speech Processing / Speech processing systems / Vibration / Vibration, Dynamical Systems, Control
ISBN:	9783319373027
EAN-Code:	9783319373027
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	#04 - Applied Condition Monitoring
Dimensionen:	H 235 mm / B 155 mm / D 27 mm
Gewicht:	7606 gr
Seiten:	494
Illustration:	XI, 494 p. 295 illus., 248 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	Previously published in hardcover
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.