13   Artículos

 
en línea
Shenghan Zhou, Tianhuai Wang, Linchao Yang, Zhao He and Siting Cao    
This paper aims to build a Self-supervised Fault Detection Model for UAVs combined with an Auto-Encoder. With the development of data science, it is imperative to detect UAV faults and improve their safety. Many factors affect the fault of a UAV, such as... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zhenzhong Xu, Bang Chen, Shenghan Zhou, Wenbing Chang, Xinpeng Ji, Chaofan Wei and Wenkui Hou    
In the process of aircraft maintenance and support, a large amount of fault description text data is recorded. However, most of the existing fault diagnosis models are based on structured data, which means they are not suitable for unstructured data such... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Shenghan Zhou, Chaofan Wei, Pan Li, Anying Liu, Wenbing Chang and Yiyong Xiao    
Traditional aircraft maintenance support work is mainly based on structured data. Unstructured data, such as text data, have not been fully used, which means there is a waste of resources. These unstructured data contain a great storehouse of fault knowl... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Linchao Yang, Guozhu Jia, Ke Zheng, Fajie Wei, Xing Pan, Wenbing Chang and Shenghan Zhou    
At present, the research on fault analysis based on text data focuses on fault diagnosis and classification, but it rarely suggests how to use that information to troubleshoot faults reported in unmanned aerial vehicles (UAVs). Selecting the exact troubl... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Wenbing Chang, Xinpeng Ji, Yinglai Liu, Yiyong Xiao, Bang Chen, Houxiang Liu and Shenghan Zhou    
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenbing Chang, Yinglai Liu, Yiyong Xiao, Xingxing Xu, Shenghan Zhou, Xuefeng Lu and Yang Cheng    
In this paper, cluster analysis and the XGBoost method are used to analyze the related symptoms of various types of young hypertensive patients, and finally guide patients to target treatment. Hypertension is a chronic disease that is common worldwide. T... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xinglong Yuan, Wenbing Chang, Shenghan Zhou and Yang Cheng    
Sequential pattern mining (SPM) is an effective and important method for analyzing time series. This paper proposed a SPM algorithm to mine fault sequential patterns in text data. Because the structure of text data is poor and there are many different fo... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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