Results 1 to 10 of about 4,730,238 (111)

Plug Valve Surface Defects Identification through Nondestructive Testing and Fuzzy Deep‐Learning Algorithm for Metal Porosity and Surface Evaluation

Journal of Engineering, Volume 2023, Issue 1, 2023., 2023
This paper addresses the detection and identification of flaws in Plug valves. The Plug valve thermal image is acquired using a Fluke thermal camera [TiS20]. Thermal images of the Plug valve are used for the identification of flaws such as Crack, Porosity, Corrosion, and Internal defects. The thermal images detect the surface flaws and never subsurface
V. Jacintha, S. Karthikeyan, P. Sivaprakasam, Karthikeyan Sathasivam   +3 more
wiley   +1 more source

[Retracted] Nondestructive Testing of Coal Mine Wire Ropes Based on Magnetic Sensors

International Transactions on Electrical Energy Systems, Volume 2022, Issue 1, 2022., 2022
Safety is the first priority in production. The situation is complex in the deep underground of coal mines, and safety accidents often occur. Wire rope is a kind of safety device. With the help of wire rope, the safety of miners can be guaranteed to a certain extent. It is a very important tool for mining production.
Youliang Yuan, Kaihui Wang, Baoyuan Chen, Yu Qiu, Raghavan Dhanasekaran   +4 more
wiley   +1 more source

Investigating the Influence of Design Frequency on the Ultrasonic Signal of PFSV‐EMATs

Journal of Sensors, Volume 2022, Issue 1, 2022., 2022
The point‐focusing shear vertical wave electromagnetic acoustic transducer (PFSV‐EMAT) with a concentric meander line (CML) coil has been developed to detect and size micro defection concealed within a certain depth of materials. It is proved to be sensitive to the design frequency, which is associated with the spacing of CML coil.
Xiaojuan Jia, Min Liu, Jingjun Zhang, Qi Ouyang, Agustin Herrera-May   +4 more
wiley   +1 more source

Optical Fiber Sensors for Safety and Maintenance Monitoring of Linear Infrastructure

Advanced Sensor Research, Volume 5, Issue 5, May 2026.
This review rigorously provides a thorough and detailed overview of the most recent innovations and advancements in the field of railway and pipeline infrastructure monitoring, accomplished through the implementation of cutting‐edge fiber sensing technologies, with a specific emphasis on its two principal technical branches, namely multipoint sensing ...
Shengnan Wu, Yue Cao, Xiaokun Qian, Jianling Wu, Armando Laudati, Vincenzo Romano Marrazzo, Maria Alessandra Cutolo, Giovanni Breglio, Andrea Cusano, Antonello Cutolo, Sailing He   +10 more
wiley   +1 more source

Prediction of Pipeline Defect Depth and Classification Based on CatBoost

Energy Science &Engineering, Volume 14, Issue 5, Page 2429-2439, May 2026.
Obtaining detection data using in‐line pipeline inspection, the synthetic minority oversampling technique (SMOTE) is applied to expand the sample set, thereby increasing the number of minority‐class samples. This approach effectively improves minority‐class detection and enhances pipeline safety assessment. ABSTRACT Magnetic flux leakage detection is a
Cong Chen, Rui Li, Guanwei Jia, Dongcun Qin   +3 more
wiley   +1 more source

Probabilistic Corrosion Detection of Reinforced Concrete Structures via Magnetic Flux Leakage Signal and Bayesian Neural Network

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Internal reinforcement corrosion threatens the durability and safety of concrete structures, yet conventional nondestructive testing (NDT) methods remain largely qualitative and struggle to detect early‐stage corrosion concealed within the concrete cover.
Xin-Rui Ma, Shi-Zhi Chen, Ye-Peng Chen, Xiang-Yu Wang, Ka-Veng Yuen   +4 more
wiley   +1 more source

A Hybrid Model Reference Adaptive and Regressive‐Form Sliding Mode Control in Discrete Domain: Robustness Under System Uncertainty

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, Cong Toai Truong, Van Tu Duong, Tan Tien Nguyen, Huy Hung Nguyen   +4 more
wiley   +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, Chao Wang, Xiaoli Hu, Lun Zhang, Wenchao Zhang, Yongyuan Xu, Pengfei Liu, Xufang Pang, Tin Lun Lam, Ning Ding   +9 more
wiley   +1 more source

A Review of Technical Advances and Applications of Intelligent Inspection Robots in Structural Health Monitoring

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, Huaitao Shi, Bing Cai, Xiaotian Bai, Lu Chen, Gang Han, Chenghong Mi   +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, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan   +3 more
wiley   +1 more source