| 說明 |
1 online resource (xi, 423 pages) : illustrations, digital ; 24 cm |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
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text file PDF rda |
| 系列 |
Applied condition monitoring, 2363-698X ; volume 15
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Applied condition monitoring ; volume 15
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| 附註 |
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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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 |
| Host Item |
Springer eBooks
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| 主題 |
Machinery -- Monitoring -- Congresses
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Engineering
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Mathematical models
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Vibration
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Dynamics
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Manufacturing industries
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Machinery
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Tools
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Manufacturing, Machines, Tools, Processes
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Vibration, Dynamical Systems, Control
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Signal, Image and Speech Processing
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Numerical and Computational Physics, Simulation
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| Alt Author |
Fernandez Del Rincon, Alfonso, editor
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Viadero Rueda, Fernando, editor
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Chaari, Fakher, editor
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Zimroz, Radoslaw, editor
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Haddar, Mohamed, editor
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SpringerLink (Online service)
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| Alt Title |
CMMNO'2018 |
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