1-6 of 6
Wissam M. Alobaidi
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
Journal Articles

Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal

Wissam M. Alobaidi, Entidhar A. Alkuam, Eric Sandgren
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol. August 2018, 140(4): 041501.
Paper No: PVT-17-1098
https://doi.org/10.1115/1.4040360
Published Online: June 18, 2018
View Articletitled, Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal
Open the PDF for Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal in another window
Topics: Artificial neural networks, Pipes, Microwaves, Signals, Topology, Optimization
Journal Articles

Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning

Wissam M. Alobaidi, Clifford E. Kintner, Entidhar A. Alkuam, Kota Sasaki, Noritaka Yusa, Hidetoshi Hashizume, Eric Sandgren
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol. February 2018, 140(1): 011501.
Paper No: PVT-17-1084
https://doi.org/10.1115/1.4038517
Published Online: December 1, 2017
View Articletitled, Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning
Open the PDF for Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning in another window
Topics: Calibration, Microwaves, Pipes, Probes, Shapes, Signals
Proceedings Papers

Classification of the Extent of Wall Thinning in Pipes Based on Simulations in the Time and Frequency Domain

Wissam M. Alobaidi, Eric Sandgren
Proc. ASME. PVP2016, Volume 5: High-Pressure Technology; Rudy Scavuzzo Student Paper Symposium and 24th Annual Student Paper Competition; ASME Nondestructive Evaluation, Diagnosis and Prognosis Division (NDPD); Electric Power Research Institute (EPRI) Creep Fatigue Workshop, V005T10A005, July 17–21, 2016
Publisher: American Society of Mechanical Engineers
Paper No: PVP2016-63387
https://doi.org/10.1115/PVP2016-63387
View Paper titled, Classification of the Extent of Wall Thinning in Pipes Based on Simulations in the Time and Frequency Domain
Open the PDF for Classification of the Extent of Wall Thinning in Pipes Based on Simulations in the Time and Frequency Domain in another window
Topics: Engineering simulation, Pipes, Simulation, Microwaves, Computer simulation, Algorithms, Electromagnetic scattering, Modeling, Nondestructive evaluation, Pattern recognition
Proceedings Papers

High-Efficiency Remote Measurement of Pipe Defect Using RF/UT Technologies: A Theoretical Analysis Part One — Straight Beam UT

Wissam M. Alobaidi, Eric Sandgren
Proc. ASME. PVP2016, Volume 5: High-Pressure Technology; Rudy Scavuzzo Student Paper Symposium and 24th Annual Student Paper Competition; ASME Nondestructive Evaluation, Diagnosis and Prognosis Division (NDPD); Electric Power Research Institute (EPRI) Creep Fatigue Workshop, V005T10A006, July 17–21, 2016
Publisher: American Society of Mechanical Engineers
Paper No: PVP2016-63624
https://doi.org/10.1115/PVP2016-63624
View Paper titled, High-Efficiency Remote Measurement of Pipe Defect Using RF/UT Technologies: A Theoretical Analysis Part One — Straight Beam UT
Open the PDF for High-Efficiency Remote Measurement of Pipe Defect Using RF/UT Technologies: A Theoretical Analysis Part One — Straight Beam UT in another window
Topics: Pipes, Theoretical analysis, Waveguides, Brass (Metal), Calibration, Computer simulation, Electromagnetic spectrum, Geometry, Microwaves, Nondestructive evaluation
Proceedings Papers

Waveform Pattern Recognition Applied to Rapid Detection of Wall-Thinning in Pipes: A Simulation-Based Case Study

Wissam M. Alobaidi, Eric Sandgren, Hussain M. Al-Rizzo
Proc. ASME. IPC2016, Volume 3: Operations, Monitoring and Maintenance; Materials and Joining, V003T04A038, September 26–30, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IPC2016-64320
https://doi.org/10.1115/IPC2016-64320
View Paper titled, Waveform Pattern Recognition Applied to Rapid Detection of Wall-Thinning in Pipes: A Simulation-Based Case Study
Open the PDF for Waveform Pattern Recognition Applied to Rapid Detection of Wall-Thinning in Pipes: A Simulation-Based Case Study in another window
Topics: Pattern recognition, Pipes, Simulation, Calibration, Computer simulation, Microwaves, Nondestructive evaluation, Resonance
Proceedings Papers

NDT Applied to the Detection of Defects in Oil and Gas Pipes: A Simulation-Based Study

Wissam M. Alobaidi, Hussain M. Al-Rizzo, Eric Sandgren
Proc. ASME. IMECE2015, Volume 2B: Advanced Manufacturing, V02BT02A008, November 13–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2015-50641
https://doi.org/10.1115/IMECE2015-50641
View Paper titled, NDT Applied to the Detection of Defects in Oil and Gas Pipes: A Simulation-Based Study
Open the PDF for NDT Applied to the Detection of Defects in Oil and Gas Pipes: A Simulation-Based Study in another window
Topics: Pipes, Simulation, Pressurized water reactors, Microwaves, Resonance, Computer simulation, Computer software, Manufacturing, Nondestructive evaluation, Wall thickness