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Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 / edited by Dario Di Maio, Javad Baqersad.

Knovel Mechanics & Mechanical Engineering Academic Available online

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Springer eBooks EBA - Engineering Collection 2023 Available online

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Format:
Book
Contributor:
Di Maio, Dario, editor.
Baqersad, Javad, editor.
Series:
Conference Proceedings of the Society for Experimental Mechanics Series, 2191-5652
Language:
English
Subjects (All):
Machinery.
Vehicles.
Optical measurements.
Metrology.
Aerospace engineering.
Astronautics.
Multibody systems.
Vibration.
Mechanics, Applied.
Machinery and Machine Elements.
Vehicle Engineering.
Optical Metrology.
Aerospace Technology and Astronautics.
Multibody Systems and Mechanical Vibrations.
Local Subjects:
Machinery and Machine Elements.
Vehicle Engineering.
Optical Metrology.
Aerospace Technology and Astronautics.
Multibody Systems and Mechanical Vibrations.
Physical Description:
1 online resource (185 pages)
Edition:
1st ed. 2023.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2023.
Summary:
Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the sixth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring, including papers on: Novel Techniques Optical Methods, Scanning LDV Methods Photogrammetry & DIC Rotating Machinery.
Contents:
Chapter 1. Introduction to Multipath Doppler Vibrometry (MDV) for Validating Complex Models Accurately and Without Contact
Chapter 2. DIC Using Low Speed Cameras on a Scaled Wind Turbine Blade
Chapter 3. Data Challenges for Structural Health Monitoring of Electrical Machines
Chapter 4. Neuromorphic Data Processing for Event-Driven Imagery for Acoustic Measurements
Chapter 5. Template Matching and Particle Filtering for Structural Identification of High and Low Frequency Vibration
Chapter 6. Multi-Sensor Collaborative Sampling Schemes to Reconstruct Undersampled Mechanical System Signals for Machinery Fault Detection
Chapter 7. Regime Sorting for Multiscale Vibrations and Phase-Based Motion Extraction
Chapter 8. Digital Image Correlation with a Neuromorphic Event-based Imager
Chapter 9. Monitoring the Response of Electrical Components during Environmental Vibration Tests Using a Scanning Laser Doppler Vibrometer
Chapter 10. Advanced Mesh Reconstruction with Low BudgetRGBD-Hardware for Modal Analysis with the Software WaveImage
Chapter 11. Stereoscopic High Speed Camera Based Operational Modal Analysis using a One-camera Setup
Chapter 12. In-plane Vibration Measurement of an Aluminum Plate Using a Three-dimensional Continuously Scanning Laser Doppler Vibrometer System
Chapter 13. Measuring Full-Field Deformation in Ultra-High-Performance Concrete Structural Components using Tag-Based Robotic Vision
Chapter 14. Dynamic Behaviour and Magneto-Mechanical Efficiency of a Contactless Magnetic Transmission
Chapter 15. Structural Damage Identification for Plate-Like Structures Using Two-dimensional Teager Energy Operator-Wavelet Transform
Chapter 16. A Vision-based Quantification Approach for Reinforced Concrete Tunnel Liner Delamination
Chapter 17. An Optical Temporal and Spatial Vibration-Based Damage Detection Using Convolutional Neural Networks and Long Short-Term Memory
Chapter 18. A Hybrid-Attention-LSTM-Based Deep Convolutional NeuralNetwork to Extract Modal Frequencies from Limited Dataset Using Transfer Learning
Chapter 19. Detecting and Reconstructing the 3D Geometry of Subsurface Structural Damage Using Full-Field Image-Based Sensing and Topology Optimization
Chapter 20. Optimal Kernel Design for the Extraction of Subtle Motions Using Convolutional Neural Network.
Notes:
Includes bibliographical references.
ISBN:
87-438-0397-0
87-438-0029-7
3-031-04098-8
9788743803973
OCLC:
1528837219

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