Results 51 to 60 of about 1,874 (204)
Image Processing Techniques to Remove Depth Bias Effects in Magnetic Source Images of Deep Cracks [PDF]
, 1997 Magnetic Flux Leakage (MFL) methods are used to detect localized phenomena such as surface or sub-surface cracks in ferromagnetic materials [1]. A dc magnetic field is induced inside the sample being tested, and the distribution of the resultant lines of
Bruno, A. C. +2 more
core +4 more sources
Engineering Reports, Volume 7, Issue 12, December 2025.A novel MRASMC framework is developed, with a sliding surface derived from a regressive structure and parameters adaptively updated. An adaptive trigger condition enhances disturbance rejection without requiring complex observers or full system models.
Nhut Thang Le +4 more
wiley +1 more source
Attention Module Magnetic Flux Leakage Linked Deep Residual Network for Pipeline In-Line Inspection
Sensors, 2022 Pipeline operational safety is the foundation of the pipeline industry. Inspection and evaluation of defects is an important means of ensuring the safe operation of pipelines.
Shucong Liu, Hongjun Wang, Rui Li
doaj +1 more source
Evaluation of eddy current and magnetic techniques for inspecting rebars in bridge barrier rails [PDF]
, 2012 This paper reports on a feasibility study of using eddy current (EC) and magnetic flux leakage (MFL) methods to detect corrosion damage in rebars that anchor concrete barrier rails to the road deck of bridge structures.
Lo, Chester C.H., Nakagawa, Norio
core +2 more sources
The use of reflection mode ultrasonic transceiver sensor in pipeline inspection guage to monitor pipeline internal corrosion [PDF]
, 2014 Aging gas transmission pipelines are prone to internal corrosion due to the presence of carbon dioxide and hydrogen sulphide in the natural gas constituents.
Abd. Aziz, M. Azreen Firdaus +4 more
core +1 more source
Developing a Climbing Robot for Stay Cable Maintenance With Security and Rescue Mechanisms
Journal of Field Robotics, Volume 42, Issue 6, Page 2532-2548, September 2025.ABSTRACT The significance of climbing robotic systems for cable maintenance is escalating in both academic research and real‐world applications. As these systems are poised for real‐world deployment, it is imperative to develop security and rescue mechanisms that ensure robots' intrinsic safety and robustness in dealing with uncertainty factors.
Zhenliang Zheng +9 more
wiley +1 more source
SmartBot, Volume 1, Issue 3, September 2025.This review presents recent advances in intelligent inspection robots for structural health monitoring. It highlights key technologies in sensing, data processing, and fault localization, along with challenges and future directions. The aim is to support practical deployment and promote intelligent, efficient, and autonomous monitoring systems ...
Dongjie Li +6 more
wiley +1 more source
Safeguarding Pipeline Integrity Through Stacked Ensemble Learning and Data Fusion
International Journal of Mechanical System Dynamics, Volume 5, Issue 1, Page 129-140, March 2025.ABSTRACT This research presents a novel approach to pipeline Structure Health Monitoring (SHM) by utilizing frequency response function signals and integrating advanced data‐driven techniques to detect and evaluate vibration responses regarding loose bolts, scale deposits within pipelines, and cracks at pipeline supports, aiming to determine the ...
Hussein A. M. Hussein +3 more
wiley +1 more source
IET Electric Power Applications, Volume 19, Issue 1, January/December 2025.This paper proposes a hybrid deep learning method combining convolutional neural networks (CNNs) and transformer architectures for detecting rotor interturn short‐circuit (RITSC) faults in doubly fed induction generators (DFIGs), with a focus on the challenging near‐synchronous speed condition.
Sajad Khoshbakht +2 more
wiley +1 more source
UEG Week 2021 Poster Presentations
, 2021 United European Gastroenterology Journal, Volume 9, Issue S8, Page 262-907, October 2021.
wiley +1 more source