[Paper Review] TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency

Автор: 서울대학교 산업공학과 DSBA 연구실

Загружено: 2023-03-06

Просмотров: 1148

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발표자: 석박통합과정 강형원

1. 논문 제목:
TFAD: A Decomposition Time Series Anomaly Detection Architecture
with Time-Frequency Analysis (Zhang, C., Zhou, T., Wen, Q., & Sun, L., CIKM 2022)
링크: https://dl.acm.org/doi/abs/10.1145/35...

2. 논문 Overview
Time domain analysis branch와 Frequency domain analysis branch를 통합하여 시간 정보를 식별하고 탐지 성능을 향상
Decomposition module을 간결한 neural representation network와 결합
Normal data 뿐만 아니라 abnormal data augmentation 수행

3. keyword: Time series, Anomaly detection ,Time series anomaly detection, TFAD, Decomposition, Time, Frequency, Fourier, Fourier Transform, Fast Fourier Transform, Augmentation, Time Frequency Anomaly detection

[Paper Review] TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency

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