A systematic map** study on machine learning techniques applied for condition monitoring and predictive maintenance in the manufacturing sector
TLJ Phan, I Gehrhardt, D Heik, F Bahrpeyma… - Logistics, 2022 - mdpi.com
Background: Today's production facilities must be efficient in both manufacturing and
maintenance. Efficiency enables the company to maintain the required output while …
maintenance. Efficiency enables the company to maintain the required output while …
Enhanced defect detection in NDE using registration aided heterogeneous data fusion
The degradation of systems in service, including pipelines, over time highlights the critical
need for reliable and accurate defect detection to ensure safe operations. However, single …
need for reliable and accurate defect detection to ensure safe operations. However, single …
Reliability analysis of corroded pipes using MFL signals and Residual Neural Networks
Y Chen, Z Tian, H Wei, S Dong - Process Safety and Environmental …, 2024 - Elsevier
A magnetic flux leakage (MFL) tool may identify most pipeline corrosion defects. Therefore,
analyzing the MFL signals to obtain helpful information for pipeline safety analysis is …
analyzing the MFL signals to obtain helpful information for pipeline safety analysis is …
Inline pipeline inspection using hybrid deep learning aided endoscopic laser profiling
For safe operations and regular maintenance of pipelines in industrial and domestic usages,
it is extremely important to extensively monitor gigantic pipeline systems and accurately …
it is extremely important to extensively monitor gigantic pipeline systems and accurately …
A kriging-based magnetic flux leakage method for fast defect detection in massive pipelines
Abstract Systems in service continue to degrade with the passage of time. Pipelines are
among the most common systems that wear away with usage. For public safety, it is of …
among the most common systems that wear away with usage. For public safety, it is of …
[HTML][HTML] Robust defect detection under uncertainties using spatially adaptive capacitive imaging
We develop a high-Q capacitive sensing based robust non-destructive evaluation (NDE)
methodology that can be widely used in varied NDE applications. We show that the …
methodology that can be widely used in varied NDE applications. We show that the …
Accurate Material Characterization of Wideband RF Signals via Registration-based Curve Fitting Model using Microstrip Transmission Line
Knowledge of the electrical properties, such as complex permittivity, permeability and loss
tangent measurements is rapidly becoming a necessity for Nondestructive Evaluation (NDE) …
tangent measurements is rapidly becoming a necessity for Nondestructive Evaluation (NDE) …
A Kriging based fast and efficient method for defect detection in massive pipelines using magnetic flux leakages
Abstract Systems in service continue to degrade with passage of time. Pipelines are among
the most common systems that wear away with usage. For public safety it is of utmost …
the most common systems that wear away with usage. For public safety it is of utmost …
Rapid material characterization using smart skin with functional data analysis
Automotive industries in the last decade are demanding for lightweight, corrosion resistance
and improved fatigue performance materials. Composites having all such properties quickly …
and improved fatigue performance materials. Composites having all such properties quickly …
Registration of NDE Data to CAD
NDE 4.0 is about evolving the practice of NDE from independent, perhaps automated,
measurements into a new world of interconnected information, where the NDE data …
measurements into a new world of interconnected information, where the NDE data …