Advances in condition monitoring of machinery in non-stationary operations : proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013 / / Giorgio Dalpiaz [and seven others], editors

• Record Nr.: UNINA9910299709503321
• Pubbl/distr/stampa: Heidelberg [Germany] : , : Springer, , 2014
• ISBN: 3-642-39348-9
• Edizione: [1st ed. 2014.]
• Descrizione fisica: 1 online resource (xiii, 709 pages) : illustrations (some color)
• Collana: Lecture Notes in Mechanical Engineering, , 2195-4356
• Disciplina: 620; 621.8/16
• Soggetti: Machinery - Monitoring; Mechanical engineering
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "ISSN: 2195-4356."; "ISSN: 2195-4364 (electronic)."
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Rolling bearing diagnostics -- Gearbox diagnostics -- Signal processing for machine condition monitoring -- Experimental and numerical modeling of machine dynamics -- Mechanical systems diagnostics.
• Sommario/riassunto: This book presents the processings of the third edition of the Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13) which was held in Ferrara, Italy. This yearly event merges an international community of researchers who met – in 2011 in Wroclaw (Poland) and in 2012 in Hammamet (Tunisia) – to discuss issues of diagnostics of rotating machines operating in complex motion and/or load conditions. The growing interest of the industrial world on the topics covered by the CMMNO13 involves the fields of packaging, automotive, agricultural, mining, processing and wind machines in addition to that of the systems for data acquisition.The participation of speakers and visitors from industry makes the event an opportunity for immediate assessment of the potential applications of advanced methodologies for the signal analysis. Signals acquired from machines often contain contributions from several different components as well ; as noise. Therefore, the major challenge of condition monitoring is to point out the signal content that is related to the state of the monitored component particularly in non-stationary conditions. The book is divided into the following sections, namely: Part 1: Keynote Speeches Part 2: Rolling bearing diagnostics Part 3: Gearbox diagnostics Part 4: Signal processing for machine condition monitoring Part 5: Experimental and numerical modeling of machine dynamics Part 6: Mechanical systems diagnostics .