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
Editors: Dalpiaz, G., Rubini, R., D'Elia, G., Cocconcelli, M., Chaari, F., Zimroz, R., Bartelmus, W., Haddar, M. (Eds.)
Free Preview- Recent Research in Condition Monitoring of Machinery in Non-Stationary Operations
- Proceedings of the third International Conference Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013, taking place in Ferrara, Italy, May 8-10, 2013
- Written by leading experts in the field
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- About this book
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This book presents the processing 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.
- Table of contents (60 chapters)
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Dynamical Behavior of Rotating Machinery in Non-Stationary Conditions: Simulation and Experimental Results
Pages 3-21
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Speed Transform, a New Time-Varying Frequency Analysis Technique
Pages 23-35
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SMART: Integrating Human Safety Risk Assessment with Asset Integrity
Pages 37-59
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Incipient Fault Detection in Bearings Through the use of WPT Energy and Neural Networks
Pages 63-72
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Bearing Fault Detection Using Beamforming Technique and Artificial Neural Networks
Pages 73-80
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Table of contents (60 chapters)
- Download Preface 1 PDF (55.1 KB)
- Download Sample pages 2 PDF (1 MB)
- Download Table of contents PDF (142.3 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Advances in Condition Monitoring of Machinery in Non-Stationary Operations
- Book Subtitle
- Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013
- Editors
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- Giorgio Dalpiaz
- Riccardo Rubini
- Gianluca D'Elia
- Marco Cocconcelli
- Fakher Chaari
- Radoslaw Zimroz
- Walter Bartelmus
- Mohamed Haddar
- Series Title
- Lecture Notes in Mechanical Engineering
- Copyright
- 2014
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-39348-8
- DOI
- 10.1007/978-3-642-39348-8
- Softcover ISBN
- 978-3-642-39347-1
- Series ISSN
- 2195-4356
- Edition Number
- 1
- Number of Pages
- XIII, 709
- Number of Illustrations
- 133 b/w illustrations, 307 illustrations in colour
- Topics
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