Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection.

Wang, Chunzhi; Xing, Shaowen; Gao, Rong; Yan, Lingyu; Xiong, Naixue; Wang, Ruoxi

Wang, Chunzhi; Xing, Shaowen; Gao, Rong; Yan, Lingyu; Xiong, Naixue; Wang, Ruoxi.

Afiliação

Wang C; School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
Xing S; School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
Gao R; School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
Yan L; School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
Xiong N; Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX 79830, USA.
Wang R; Wuhan Fiberhome Technical Services Co., Ltd., Wuhan 430205, China.

Sensors (Basel) ; 23(3)2023 Jan 18.

Article em En | MEDLINE | ID: mdl-36772143

Palavras-chave

anomaly detection; graph neural networks; time series; transformer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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