Advances in Condition Monitoring of Machinery in Non-Stationary Operations Proceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2018, 20-22 June 2018, Santander, Spain /

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 o...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Fernandez Del Rincon, Alfonso (Editör), Viadero Rueda, Fernando (Editör), Chaari, Fakher (Editör), Zimroz, Radoslaw (Editör), Haddar, Mohamed (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Applied Condition Monitoring, 15
Konular:
Manufactures.
Multibody systems.
Vibration.
Mechanics, Applied.
Signal processing.
Mathematical physics.
Machines, Tools, Processes.
Multibody Systems and Mechanical Vibrations.
Signal, Speech and Image Processing.
Theoretical, Mathematical and Computational Physics.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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