Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie
نویسندگان
چکیده
منابع مشابه
Non-melanoma skin cancer diagnosis with a convolutional neural network
Background: The most common types of non-melanoma skin cancer are basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). AKIEC -Actinic keratoses (Solar keratoses) and intraepithelial carcinoma (Bowen’s disease)- are common non-invasive precursors of SCC, which may progress to invasive SCC, if left untreated. Due to the importance of early detection in cancer treatment, this study aimed...
متن کاملAnalysis of flow and aerodynamic noise behaviour of a simplified high-speed train bogie inside the bogie cavity
Aerodynamic noise becomes significant for high-speed trains but its prediction in an industrial context is difficult. The flow and aerodynamic noise behaviour of a simplified high-speed train bogie at scale 1:10 are studied here through numerical simulations. The bogie is situated in the bogie cavity and cases without and with a fairing are considered, allowing the shielding effect of the bogie...
متن کاملAnalysis of aerodynamic and aeroacoustic behaviour of a simplified high-speed train bogie
As one of the main aerodynamic noise sources of high-speed trains, the bogie is a complex structure containing many components and the flow around it is extremely dynamic with high-level turbulence. Flow around a simplified bogie at scale 1:10 is studied numerically using Computational Fluid Dynamics (CFD) for comparison with experimental measurements. The upstream inlet flow is represented as ...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملMemory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition
Text recognition in natural scene is a challenging problem due to the many factors affecting text appearance. In this paper, we presents a method that directly transcribes scene text images to text without needing of sophisticated character segmentation. We leverage recent advances of deep neural networks to model the appearance of scene text images with temporal dynamics. Specifically, we inte...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2018
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2018/4501952