北京交通大学学报2025，Vol.49Issue(3)：1-13,13.DOI:10.11860/j.issn.1673-0291.20240113
时间序列异常检测综述
A survey on time series anomaly detection
摘要
Abstract
Time series anomaly detection,however,faces numerous challenges due to the complexity of data characteristics,algorithmic requirements,and diverse application scenarios.To address this,this paper presents a comprehensive survey of time series anomaly detection.First,the paper system-atically analyzes the complexity and challenges of time series anomaly detection tasks from three di-mensions:data characteristics,algorithm requirements,and application scenarios.Second,it catego-rizes anomalies in time series into point anomalies,subsequence anomalies,and inter-variable correla-tion anomalies,providing a detailed exposition of the definitions and detection methods for each type.Third,the paper reviews and analyzes the use of traditional statistical methods,machine learning tech-niques,and deep learning approaches in time series anomaly detection,evaluating their applicability and limitations.Subsequently,it compiles widely used time series anomaly detection datasets,analyz-ing the application scenarios and unique features of each dataset.Finally,it discusses future research directions in time series anomaly detection from five perspectives:anomaly localization,anomaly clas-sification,precursor forecasting,interpretability,and integration with large-scale models.The review highlights that current challenges,including data scarcity,anomaly diversity,and concept drift,re-main unresolved.Future anomaly detection research is expected to evolve toward more granular tasks such as anomaly localization and prediction.关键词
时间序列/异常检测/异常模式/检测算法Key words
time series/anomaly detection/anomaly patterns/detection algorithms分类
信息技术与安全科学引用本文复制引用
陈福荣,熊琛,李婷,钟超,马朝阳,李达,王晶..时间序列异常检测综述[J].北京交通大学学报,2025,49(3):1-13,13.基金项目
中国民航信息网络股份有限公司和民航旅客出行智慧云工程技术研究中心基金(K23L01050) （K23L01050）
国家自然科学基金(62372031)TravelSky Technology Limited and Civil Aviation Passenger Travel Intelligent Cloud Engineering Technology Research Cen-ter Fund Support Project(K23L01050) （62372031）
National Natural Science Foundation of China(62372031) （62372031）
