LSTM-Based Anomaly Detection for Non-Linear Dynamical System

LSTM-Based Anomaly Detection for Non-Linear Dynamical System

Anomaly detection for non-linear dynamical system plays an important role in ensuring the system stability. However, it is usually complex and has to be solved by large-scale simulation which requires extensive computing resources. In this paper, we propose a novel anomaly detection scheme in non-li...

Full description

Bibliographic Details
Main Authors: Yue Tan, Chunjing Hu, Kuan Zhang, Kan Zheng, Ethan A. Davis, Jae Sung Park
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
LSTM
anomaly detection
non-linear dynamical system
multi-step prediction
time series
Online Access:https://ieeexplore.ieee.org/document/9105007/

Internet

https://ieeexplore.ieee.org/document/9105007/

Similar Items