1-15 of 15
Wavelets
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Multi-Resolution Quality Inspection for Additive Manufacturing

Hui Yang, Joni Reijonen, Alejandro Revuelta
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A011, June 12–16, 2023
Paper No: MSEC2023-104348
https://doi.org/10.1115/MSEC2023-104348
View Paper titled, Multi-Resolution Quality Inspection for Additive Manufacturing
Open the PDF for Multi-Resolution Quality Inspection for Additive Manufacturing in another window
Topics: Additive manufacturing, Inspection, Resolution (Optics), Wavelets
Proceedings Papers

Flaw Detection in Wire Arc Additive Manufacturing Using In-Situ Acoustic Sensing and Graph Signal Analysis

Benjamin Bevans, André Ramalho, Ziyad Smoqi, Aniruddha Gaikwad, Telmo G. Santos, Prahalad Rao, J. P. Oliveira
Publisher: American Society of Mechanical Engineers
Proc. ASME. MSEC2023, Volume 1: Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering, V001T01A005, June 12–16, 2023
Paper No: MSEC2023-101622
https://doi.org/10.1115/MSEC2023-101622
View Paper titled, Flaw Detection in Wire Arc Additive Manufacturing Using In-Situ Acoustic Sensing and Graph Signal Analysis
Open the PDF for Flaw Detection in Wire Arc Additive Manufacturing Using In-Situ Acoustic Sensing and Graph Signal Analysis in another window
Topics: Acoustics, Additive manufacturing, Flaw detection, Signals, Welding, Wire, Electric arcs, Energy resources, Geometry, Joining
Proceedings Papers

Prediction of Weld Defects in Underwater Friction Stir Welding of Dissimilar Materials

Raju Prasad Mahto, Ananta Dutta, Debasish Mishra
Proc. ASME. MSEC2022, Volume 2: Manufacturing Processes; Manufacturing Systems, V002T05A047, June 27–July 1, 2022
Paper No: MSEC2022-85574
https://doi.org/10.1115/MSEC2022-85574
View Paper titled, Prediction of Weld Defects in Underwater Friction Stir Welding of Dissimilar Materials
Open the PDF for Prediction of Weld Defects in Underwater Friction Stir Welding of Dissimilar Materials in another window
Topics: Friction, Welding, Signal processing, Signals, Torque, Aluminum, Filters, Flow (Dynamics), Intermetallic compounds, Shear strength
Proceedings Papers

On Transfer Learning of Traditional Frequency and Time Domain Features in Turning

Melih C. Yesilli, Firas A. Khasawneh
Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T07A027, September 3, 2020
Paper No: MSEC2020-8274
https://doi.org/10.1115/MSEC2020-8274
View Paper titled, On Transfer Learning of Traditional Frequency and Time Domain Features in Turning
Open the PDF for On Transfer Learning of Traditional Frequency and Time Domain Features in Turning in another window
Topics: Accelerometers, Algorithms, Chatter, Cutting, Fast Fourier transforms, Machine learning, Manufacturing, Signal processing, Signals, Spectral energy distribution
Proceedings Papers

Surface Topography Separation Based on Wavelet Reconstruction and Empirical Mode Decomposition

Faping Zhang, Jibin Yang, Tiguang Zhang, Yan Yan
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A027, June 8–12, 2015
Paper No: MSEC2015-9310
https://doi.org/10.1115/MSEC2015-9310
View Paper titled, Surface Topography Separation Based on Wavelet Reconstruction and Empirical Mode Decomposition
Open the PDF for Surface Topography Separation Based on Wavelet Reconstruction and Empirical Mode Decomposition in another window
Topics: Separation (Technology), Wavelets, Impulse (Physics), Noise (Sound), Errors, Fourier transforms, Machining, Wavelet transforms
Proceedings Papers

Cutting Tool Condition Monitoring and Prediction Based on Dynamic Data Driven Approaches

Zhenhua Wu
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A110, June 8–12, 2015
Paper No: MSEC2015-9346
https://doi.org/10.1115/MSEC2015-9346
View Paper titled, Cutting Tool Condition Monitoring and Prediction Based on Dynamic Data Driven Approaches
Open the PDF for Cutting Tool Condition Monitoring and Prediction Based on Dynamic Data Driven Approaches in another window
Topics: Condition monitoring, Cutting tools, Wear, Cutting, Errors, Signals, Acoustic emissions, Artificial neural networks, Filters, Machining
Proceedings Papers

Dual-Tree Wavelet Packet Transform for Ultrasonic Data Transmission Through Metal Structures

Jinjiang Wang, Robert X. Gao, Xinyao Tang, Zhaoyan Fan, Peng Wang
Proc. ASME. MSEC2015, Volume 1: Processing, V001T02A112, June 8–12, 2015
Paper No: MSEC2015-9463
https://doi.org/10.1115/MSEC2015-9463
View Paper titled, Dual-Tree Wavelet Packet Transform for Ultrasonic Data Transmission Through Metal Structures
Open the PDF for Dual-Tree Wavelet Packet Transform for Ultrasonic Data Transmission Through Metal Structures in another window
Topics: Metalwork, Wavelets, Signal processing, Signal to noise ratio, Signals, Waves, Contamination, Diffraction, Manufacturing, Noise (Sound)
Proceedings Papers

A Study on Condition Monitoring and Diagnosis of Injection Molding Process Using Probabilistic Neural Network Method

Dae Seong Baek, Chengjun Li, Jung Soo Nam, Cho Rok Na, Myungho Kim, Byungohk Rhee, Sangwon Lee
Proc. ASME. MSEC2014, Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, V001T04A039, June 9–13, 2014
Paper No: MSEC2014-4058
https://doi.org/10.1115/MSEC2014-4058
View Paper titled, A Study on Condition Monitoring and Diagnosis of Injection Molding Process Using Probabilistic Neural Network Method
Open the PDF for A Study on Condition Monitoring and Diagnosis of Injection Molding Process Using Probabilistic Neural Network Method in another window
Topics: Artificial neural networks, Condition monitoring, Injection molding, Pressure, Cavities, Signals, Nozzles, Screws, Feature extraction, Modeling
Proceedings Papers

Dry Turning of Commercially Pure Aluminium With Carbide Tools

Xin Wang, Patrick Kwon
Proc. ASME. MSEC2010, ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1, 355-362, October 12–15, 2010
Paper No: MSEC2010-34064
https://doi.org/10.1115/MSEC2010-34064
View Paper titled, Dry Turning of Commercially Pure Aluminium With Carbide Tools
Open the PDF for Dry Turning of Commercially Pure Aluminium With Carbide Tools in another window
Topics: Aluminum, Carbide cutting tools, Turning, Wear, Adhesion, Cobalt, Oxygen, Abrasives, Filtration, Fracture (Materials)
Proceedings Papers

Evaluation of Diagnostic Performance for the Gear Box Considering the Measurement Position Effect With Wavelet Packet Transform

Young-Sun Hong, Gil-Yong Lee, Young-Man Cho, Sung-Hoon Ahn, Chul-Ki Song
Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2, 113-118, October 4–7, 2009
Paper No: MSEC2009-84343
https://doi.org/10.1115/MSEC2009-84343
View Paper titled, Evaluation of Diagnostic Performance for the Gear Box Considering the Measurement Position Effect With Wavelet Packet Transform
Open the PDF for Evaluation of Diagnostic Performance for the Gear Box Considering the Measurement Position Effect With Wavelet Packet Transform in another window
Topics: Gears, Wavelets, Signals, Vibration, Bevel gears, Machinery, Mechanical drives
Proceedings Papers

Flank Wear of Multi-Layer Coated Tool and Wear Prediction Using Abrasion Wear Model

Kyung-Hee Park, Patrick Y. Kwon
Proc. ASME. MSEC2009, ASME 2009 International Manufacturing Science and Engineering Conference, Volume 1, 331-340, October 4–7, 2009
Paper No: MSEC2009-84100
https://doi.org/10.1115/MSEC2009-84100
View Paper titled, Flank Wear of Multi-Layer Coated Tool and Wear Prediction Using Abrasion Wear Model
Open the PDF for Flank Wear of Multi-Layer Coated Tool and Wear Prediction Using Abrasion Wear Model in another window
Topics: Abrasion, Wear, Microscopes, Cutting, Filtration, Finite element analysis, Lasers, Scanning electron microscopes, Steel, Surface roughness
Proceedings Papers

Crater Wear Patterns and Evolution on Multi-Layer Coated Carbides Using the Wavelet Transform

Jorge A. Olortegui-Yume, Moon-Chul Yoon, Patrick Y. Kwon
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1, 437-445, October 7–10, 2008
Paper No: MSEC_ICM&P2008-72402
https://doi.org/10.1115/MSEC_ICMP2008-72402
View Paper titled, Crater Wear Patterns and Evolution on Multi-Layer Coated Carbides Using the Wavelet Transform
Open the PDF for Crater Wear Patterns and Evolution on Multi-Layer Coated Carbides Using the Wavelet Transform in another window
Topics: Wavelet transforms, Wear, Machining, Noise (Sound), Wavelets, Laser scanning microscopy, Microscale devices, Resolution (Optics)
Proceedings Papers

Experimental Study of Sound Signal for Tool Condition Monitoring in Micro Milling Processes

Chia-Liang Yen, Ming-Chyuan Lu, Ching-Yuan Lin, Tin-Hong Chen
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2, 257-264, October 7–10, 2008
Paper No: MSEC_ICM&P2008-72181
https://doi.org/10.1115/MSEC_ICMP2008-72181
View Paper titled, Experimental Study of Sound Signal for Tool Condition Monitoring in Micro Milling Processes
Open the PDF for Experimental Study of Sound Signal for Tool Condition Monitoring in Micro Milling Processes in another window
Topics: Condition monitoring, Milling, Signals, Cutting, Micromilling, Vibration, Wavelets, Wear, Wear testing
Proceedings Papers

Wear Signal Measurement of Micro-End Mill Using Wavelet Analysis

Jeong-Bin Park, Yeong-Seon Hong, Jin-Woong Kim, Jun-Cheol Yeo, Kyung-Tae Lee, Jae-Seuk Park, Young-Man Cho, Sung-Hoon Ahn
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2, 215-220, October 7–10, 2008
Paper No: MSEC_ICM&P2008-72121
https://doi.org/10.1115/MSEC_ICMP2008-72121
View Paper titled, Wear Signal Measurement of Micro-End Mill Using Wavelet Analysis
Open the PDF for Wear Signal Measurement of Micro-End Mill Using Wavelet Analysis in another window
Topics: Signals, Wavelets, Wear, Machining, Cutting, Dynamometers, Printed circuit boards, Wavelet transforms
Proceedings Papers

Intelligent Fault Diagnosis of Rolling Element Bearing Based on SVMs and Statistical Characteristics

Junyan Yang, Youyun Zhang, Yongsheng Zhu, Qinghua Wang
Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 525-536, October 15–18, 2007
Paper No: MSEC2007-31183
https://doi.org/10.1115/MSEC2007-31183
View Paper titled, Intelligent Fault Diagnosis of Rolling Element Bearing Based on SVMs and Statistical Characteristics
Open the PDF for Intelligent Fault Diagnosis of Rolling Element Bearing Based on SVMs and Statistical Characteristics in another window
Topics: Fault diagnosis, Rolling bearings, Electromagnetic spectrum, Wavelets, Signals, Time-frequency analysis