Results 11 to 20 of about 53,258 (277)
Radiographic modelling for NDE of subsea pipelines [PDF]
, 2017 This work presents an investigation of the accuracy of a radiographic simulation model applied to subsea pipeline inspections. Experimental measurements of a sample in a water tank are used to develop a set of calibrated simulation parameters for the ...
Misty I. Haith +7 more
semanticscholar +2 more sources
Considerations for Quantitative NDE and NDE Reliability Improvement
, 1983 A challenge has been presented to the scientific community to apply “first principles” to the understanding, prediction, and control of nondestructive evaluation (NDE) processes and applications. The success of the program is evident in the attention of new researchers and in the diversity of scientific specializations that have been directed to NDE ...
Rummel, Ward., Ward D. Rummel
openaire +4 more sources
Deep learning in automated ultrasonic NDE – Developments, axioms and opportunities [PDF]
NDT & E International, 2021 The analysis of ultrasonic NDE data has traditionally been addressed by a trained operator manually interpreting data with the support of rudimentary automation tools. Recently, many demonstrations of deep learning (DL) techniques that address individual
S. Cantero-Chinchilla +2 more
semanticscholar +1 more source
NDE Perception and Emerging Reality: NDE 4.0 Value Extraction [PDF]
Materials Evaluation, 2020 The industrial revolution is divided into three phases by historians: The invention of the steam engine (mechanization), electricity (mass production) and the microelectric revolution (automation).
Johannes Ludwig Vrana
openaire +2 more sources
A unifying review of NDE models towards optimal decision support [PDF]
Structural Safety, 2021 Non-destructive evaluation (NDE) inspections are an integral part of asset integrity management. The relationship between the condition of interest and the quantity measured by NDE is described with probabilistic models such as PoD or ROC curves.
E. Bismut, D. Štraub
semanticscholar +1 more source
Infrastructures, 2022 Annotated datasets play a significant role in developing advanced Artificial Intelligence (AI) models that can detect bridge structure defects autonomously.
E. Ichi, Faezeh Jafari, S. Dorafshan
semanticscholar +1 more source
Structural Control & Health Monitoring, 2021 In recent years, the demand for reliable and accurate nondestructive evaluation (NDE) of structural systems has been growing and several nondestructive testing (NDT) techniques are being combined to address the issues of uncertainty in the testing ...
Walter Nsengiyumva +4 more
semanticscholar +1 more source
Advancements in Radiographic Evaluation Through the Migration into NDE 4.0
Journal of nondestructive evaluation, 2021 The challenges presented by the global pandemic and slump in oil prices have imposed costly avoidance measures and delayed project timeliness, but it also has created the opportunity for innovation conditions in industrial non-destructive testing.
H. Saboonchi +2 more
semanticscholar +1 more source
Deep Learning for Ultrasonic Crack Characterization in NDE
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2020 Machine learning for nondestructive evaluation (NDE) has the potential to bring significant improvements in defect characterization accuracy due to its effectiveness in pattern recognition problems.
Richard J. Pyle +5 more
semanticscholar +1 more source
NDE 4.0: a Five Years Success Story
, 2023 In my plenary lecture at the SPIE symposium “Smart Structures and NDE” 2017, I introduced the name NDE 4.0 for the first time as part of the Industrial Revolution 4.0. That was almost exactly 5 years ago. A few months later, several organizations started
Meyendorf, Norbert
core +1 more source