A Text-Driven Aircraft Fault Diagnosis Model Based on a Word2vec and Priori-Knowledge Convolutional Neural Network

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 as text. Therefore, a text-driven aircraft fa...

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Bibliografiske detaljer

Principais autores:	Zhenzhong Xu, Bang Chen, Shenghan Zhou, Wenbing Chang, Xinpeng Ji, Chaofan Wei, Wenkui Hou
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-04-01
Serier:	Aerospace
Fag:	text-driven aircraft fault diagnosis text feature extraction convolutional neural network priori knowledge
Online adgang:	https://www.mdpi.com/2226-4310/8/4/112
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