Multivariate Time Series Anomaly Detection Based on Frequency-Domain Channel Interaction Enhancement

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更新时间：2026-07-16

- Multivariate Time Series Anomaly Detection Based on Frequency-Domain Channel Interaction Enhancement
- Journal on Communications (2026)
- 作者机构：
  
  1.东北石油大学计算机与信息技术学院，黑龙江大庆 163318
  2.黑龙江省石油大数据与智能分析重点实验室，黑龙江大庆 163318
  3.黑龙江省油气藏及地下储库完整性评价重点实验室，黑龙江大庆 163318
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2022YFE206800);the Scientific Research Startup Foundation for Introduced Talents of Northeast Petroleum University(13051202402)
- DOI：10.11959/j.issn.1000-436x.TXXB260269
  CLC： TP309
- Received：13 May 2026，
  
  Revised：2026-07-15，
  
  Accepted：16 July 2026，
- 稿件说明：
移动端阅览
Du Ruishan, Shan Yazhou, Meng Lingdong, et al. Multivariate Time Series Anomaly Detection Based on Frequency-Domain Channel Interaction Enhancement[J/OL]. Journal on Communications, 2026.
DOI：

Du Ruishan, Shan Yazhou, Meng Lingdong, et al. Multivariate Time Series Anomaly Detection Based on Frequency-Domain Channel Interaction Enhancement[J/OL]. Journal on Communications, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260269.

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