| Vorliegende Sprache |
eng |
| ISBN |
978-3-030-11219-6 |
| 978-3-030-11219-6 |
| 978-3-030-11221-9 |
| Name |
Fernandez Del Rincon, Alfonso ¬[HerausgeberIn]¬ |
| Viadero Rueda, Fernando ¬[HerausgeberIn]¬ |
| Name ANZEIGE DER KETTE |
Viadero Rueda, Fernando ¬[HerausgeberIn]¬ |
| Name |
Chaari, Fakher ¬[HerausgeberIn]¬ |
| Zimroz, Radoslaw ¬[HerausgeberIn]¬ |
| Haddar, Mohamed ¬[HerausgeberIn]¬ |
| T I T E L |
Advances in Condition Monitoring of Machinery in Non-Stationary Operations |
| Zusatz zum Titel |
Proceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2018, 20-22 June 2018, Santander, Spain |
| Verlagsort |
Cham |
| Verlag |
Springer International Publishing |
| Erscheinungsjahr |
2019 |
| 2019 |
| Umfang |
Online-Ressource (XI, 423 p. 274 illus., 218 illus. in color, online resource) |
| Reihe |
Applied Condition Monitoring ; 15 |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-030-11219-6 |
| Printed editionISBN: 978-3-030-11219-6 |
| Printed editionISBN: 978-3-030-11221-9 |
| ISBN |
ISBN 978-3-030-11220-2 |
| ISBN 978-3-030-11220-2 |
| Klassifikation |
TGP |
| TGP |
| TEC020000 |
| 670 |
| TS1-2301 |
| Kurzbeschreibung |
This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2018, held on June 20 - 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics |
| 2. Kurzbeschreibung |
Condition Monitoring in Non-Stationary Operations -- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising -- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes -- Monitoring and Diagnostic Systems -- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration -- Monitoring of a High-Speed Train Bogie Using the EMD Technique -- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals -- Noise and Vibration in Machines -- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft -- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model -- Signal Processing -- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal -- Vibro-Acoustic Diagnosis of Machinery -- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes -- Cyclostationary Approach for Long Term Vibration Data Analysis -- Monitoring of Soil Density During Compaction Processes |
| SWB-Titel-Idn |
518433137 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttps://doi.org/10.1007/978-3-030-11220-2 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
