首页> ISA transactions> Conditional normalizing flow for multivariate time series anomaly detection.

Conditional normalizing flow for multivariate time series anomaly detection.

导出 LinkOut

翻译打印收藏纠错

第一作者： Siwei,Guan

第一单位： School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Lab of Equipment Electronics, Hangzhou, Zhejiang Province, China. Electronic address: guansw@hdu.edu.cn.

作者： Siwei,Guan ^[1] ; Zhiwei,He ^[2] ; Shenhui,Ma ^[3] ; Mingyu,Gao ^[4]

作者单位： School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Lab of Equipment Electronics, Hangzhou, Zhejiang Province, China. Electronic address: guansw@hdu.edu.cn. ^[1] School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Lab of Equipment Electronics, Hangzhou, Zhejiang Province, China. Electronic address: zwhe@hdu.edu.cn. ^[2] School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Lab of Equipment Electronics, Hangzhou, Zhejiang Province, China. Electronic address: mash@hdu.edu.cn. ^[3] School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China; Zhejiang Provincial Key Lab of Equipment Electronics, Hangzhou, Zhejiang Province, China. Electronic address: mackgao@hdu.edu.cn. ^[4]

关键词 Anomaly detection Attention mechanism Multivariate time series Normalizing flow

DOI 10.1016/j.isatra.2023.09.002

PMID 37696734

发布时间 2023-12-13

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交