Anomaly Detection for Aircraft Based on Multivariate LSTM and Predictive Residual Test-Reference-Cited by-同舟云学术

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Anomaly Detection for Aircraft Based on Multivariate LSTM and Predictive Residual Test

Published:2023-12-14 Issue: Volume: Page:1-9
ISSN:
Container-title:2023 2nd International Conference on Automation, Robotics and Computer Engineering (ICARCE)
language:
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Author:

Zhang Chaoqi¹,Wei Wu²,Zhou Gongcheng²,Xiang Gang³,Lin Ruishi³,Cui Langfu⁴,Li Dongpeng³,Peng Yu³,Yu Guizhen¹

Affiliation:

1. School of Transportation Science and Engineering, Beihang University,Beijing,China

2. School of Automation Science and Electrical Engineering, Beihang University,Beijing,China

3. Beijing Aerospace Automatic Control Institute,Beijing,China

4. Beihang University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10492487/10492472/10492519.pdf?arnumber=10492519

Reference20 articles.

1. A survey on anomaly detection for technical systems using LSTM networks

2. Anomaly detection in streaming environmental sensor data: A data-driven modeling approach

3. Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing

4. Effective Sensor Selection and Data Anomaly Detection for Condition Monitoring of Aircraft Engines

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