An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record

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 troubleshooting procedure to address faults reported...

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Autores principales:	Linchao Yang, Guozhu Jia, Ke Zheng, Fajie Wei, Xing Pan, Wenbing Chang, Shenghan Zhou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	text feature UAV fault text record Word2Vec information fusion support vector machine Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/87ac70ea6c9341258b7a33bd4071a20a
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id	oai:doaj.org-article:87ac70ea6c9341258b7a33bd4071a20a
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spelling	oai:doaj.org-article:87ac70ea6c9341258b7a33bd4071a20a2021-11-25T15:57:46ZAn Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record10.3390/aerospace81103472226-4310https://doaj.org/article/87ac70ea6c9341258b7a33bd4071a20a2021-11-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/347https://doaj.org/toc/2226-4310At 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 troubleshooting procedure to address faults reported by UAVs generally requires experienced technicians with professional equipment. To improve the efficiency of UAV troubleshooting, this paper proposed a troubleshooting mode selection method based on SIF-SVM (Serial information fusion and support vector machine) using the text feature data from fault description records. First, Word2Vec was used in text data feature extraction. Second, in order to increase the amount of information in the modeling data, we used the information fusion method. SVM was then used to construct the classification model for troubleshooting mode selection. Finally, the effectiveness of the proposed model was verified by using the fault record data of a new fixed-wing UAV.Linchao YangGuozhu JiaKe ZhengFajie WeiXing PanWenbing ChangShenghan ZhouMDPI AGarticletext featureUAV fault text recordWord2Vecinformation fusionsupport vector machineMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 347, p 347 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	text feature UAV fault text record Word2Vec information fusion support vector machine Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	text feature UAV fault text record Word2Vec information fusion support vector machine Motor vehicles. Aeronautics. Astronautics TL1-4050 Linchao Yang Guozhu Jia Ke Zheng Fajie Wei Xing Pan Wenbing Chang Shenghan Zhou An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record
description	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 troubleshooting procedure to address faults reported by UAVs generally requires experienced technicians with professional equipment. To improve the efficiency of UAV troubleshooting, this paper proposed a troubleshooting mode selection method based on SIF-SVM (Serial information fusion and support vector machine) using the text feature data from fault description records. First, Word2Vec was used in text data feature extraction. Second, in order to increase the amount of information in the modeling data, we used the information fusion method. SVM was then used to construct the classification model for troubleshooting mode selection. Finally, the effectiveness of the proposed model was verified by using the fault record data of a new fixed-wing UAV.
format	article
author	Linchao Yang Guozhu Jia Ke Zheng Fajie Wei Xing Pan Wenbing Chang Shenghan Zhou
author_facet	Linchao Yang Guozhu Jia Ke Zheng Fajie Wei Xing Pan Wenbing Chang Shenghan Zhou
author_sort	Linchao Yang
title	An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record
title_short	An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record
title_full	An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record
title_fullStr	An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record
title_full_unstemmed	An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record
title_sort	unmanned aerial vehicle troubleshooting mode selection method based on sif-svm with fault phenomena text record
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/87ac70ea6c9341258b7a33bd4071a20a
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An Unmanned Aerial Vehicle Troubleshooting Mode Selection Method Based on SIF-SVM with Fault Phenomena Text Record

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