Construction of Knowledge Graph for Air Compressor Fault Diagnosis Based on a Feature-Fusion RoBERTa-BiLSTM-CRF Model

Diagnosing complex air compressor systems with traditional data-driven deep learning models often results in isolated fault diagnosis, ignoring correlations between concurrent faults. This paper introduces a knowledge graph construction approach for the air compressor fault diagnosis field, using af...

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Bibliografiska uppgifter

Huvudupphov:	Xiaqiu Xiao, Buyun Sheng, Gaocai Fu, Yingkang Lu
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-09-01
Serie:	Actuators
Ämnen:	air compressor knowledge graph entity extraction fault diagnosis
Länkar:	https://www.mdpi.com/2076-0825/13/9/339
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