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Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives
Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of
faults (FDD) in traction systems have become an active issue in the transportation area over …
faults (FDD) in traction systems have become an active issue in the transportation area over …
A review on state-of-the-art power line inspection techniques
With the fast development of smart grid, the power line mileage and power equipments get
rapid growth. The contradiction between the large number of maintenance equipments and …
rapid growth. The contradiction between the large number of maintenance equipments and …
Data-driven designs of fault detection systems via neural network-aided learning
With the aid of neural networks, this article develops two data-driven designs of fault
detection (FD) for dynamic systems. The first neural network is constructed for generating …
detection (FD) for dynamic systems. The first neural network is constructed for generating …
Data-driven fault detection for dynamic systems with performance degradation: A unified transfer learning framework
Continuous operations can result in performance degradation of industrial systems, which
naturally increases complexity in fault detection (FD). In this study, a transfer learning …
naturally increases complexity in fault detection (FD). In this study, a transfer learning …
FTMF-net: A Fourier transform-multiscale feature fusion network for segmentation of small polyp objects
The detection and resection of small polyp objects in colonoscopy images are of great
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …
A strip steel surface defect detection method based on attention mechanism and multi-scale maxpooling
M Tang, Y Li, W Yao, L Hou, Q Sun… - … Science and Technology, 2021 - iopscience.iop.org
In industry, defect detection involves two kinds of tasks: defect classification and location,
which make it difficult to ensure the accuracy of both, and also make the task still challenging …
which make it difficult to ensure the accuracy of both, and also make the task still challenging …
YOLO-IMF: An improved YOLOv8 algorithm for surface defect detection in industrial manufacturing field
Surface quality is an effective metric to evaluate the quality of industrial products. The
traditional automatic detection methods such as eddy current detection method, infrared …
traditional automatic detection methods such as eddy current detection method, infrared …
[HTML][HTML] A review of intelligent fault diagnosis for high-speed trains: Qualitative approaches
For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique
plays an important role. Benefiting from the rapid developments of artificial intelligence …
plays an important role. Benefiting from the rapid developments of artificial intelligence …
Artificial intelligence in railway infrastructure: Current research, challenges, and future opportunities
The railway industry has the potential to make a strong contribution to the achievement of
various sustainable development goals, by an expansion of its role in the transportation …
various sustainable development goals, by an expansion of its role in the transportation …
Attention-guided multitask convolutional neural network for power line parts detection
Power line parts detection refers to the inspection of key parts on transmission lines against
the complex background in aerial images and identifying whether exist anomalies that …
the complex background in aerial images and identifying whether exist anomalies that …