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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Бібліографічні деталі
Автори:	Zhenzhong Xu, Bang Chen, Shenghan Zhou, Wenbing Chang, Xinpeng Ji, Chaofan Wei, Wenkui Hou
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2021-04-01
Серія:	Aerospace
Предмети:	text-driven aircraft fault diagnosis text feature extraction convolutional neural network priori knowledge
Онлайн доступ:	https://www.mdpi.com/2226-4310/8/4/112
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A Text-Driven Aircraft Fault Diagnosis Model Based on a Word2vec and Priori-Knowledge Convolutional Neural Network

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