Results 41 to 50 of about 392 (157)
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
Developing a Climbing Robot for Stay Cable Maintenance With Security and Rescue Mechanisms
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
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
Deep Learning for Magnetic Flux Leakage Detection and Evaluation of Oil & Gas Pipelines: A Review
Magnetic flux leakage testing (MFL) is the most widely used nondestructive testing technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is essential for pipeline safety assessments.
Songling Huang +3 more
doaj +1 more source
Safeguarding Pipeline Integrity Through Stacked Ensemble Learning and Data Fusion
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
Combining Magnetic Flux Leakage and Optical Inspection Technique for Identification of Nearby Pittings [PDF]
Magnetic Flux Leakage (MFL) is an indirect measurement technique. Therefore, calibration curves are generally used to estimate the depths of the defects from the measured MFL signals.
Turaj Azizzadeh, Mir Saeed Safizadeh
doaj
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
United European Gastroenterology Journal, Volume 9, Issue S8, Page 262-907, October 2021.
wiley +1 more source
Current simulation studies on the distribution pattern of magnetic flux leakage (MFL) in broken strands of wire ropes primarily use finite element static magnetic field simulation models. In these models, the wire rope and the damage detection instrument
WEI Mingjiang +4 more
doaj +1 more source
Continuous wavelet transform of railway track defectoscopic signals in the Matlab Wavelet Toolbox [PDF]
[b]Abstract[/b]. Rail networks across the world are getting busier with trains travelling at higher speeds and carrying more passengers and heavier axle loads than ever before.
Vitalij Nichoga, Liubomyr Vashchyshyn
doaj +1 more source

