1.

Record Nr.

UNINA9910299709503321

Titolo

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 / / edited by Giorgio Dalpiaz, Riccardo Rubini, Gianluca D'Elia, Marco Cocconcelli, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014

ISBN

9783642393488

3642393489

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (xiii, 709 pages) : illustrations (some color)

Collana

Lecture Notes in Mechanical Engineering, , 2195-4364

Disciplina

620

621.8/16

Soggetti

Machinery

Engineering design

Machinery and Machine Elements

Engineering Design

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    .