Data-Driven Anomaly Detection Framework for Complex Degradation Monitoring of Aero-Engine

Data-Driven Anomaly Detection Framework for Complex Degradation Monitoring of Aero-Engine

Data analysis is an important part of aero engine health management. In order to complete accurate condition monitoring, it is necessary to establish more effective analysis tools. Therefore, an integrated algorithm library dedicated for engine anomaly detection is established, which is PyPEFD (Pyth...

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Bibliographic Details
Main Authors: Zichen Yan, Jianzhong Sun, Yang Yi, Caiqiong Yang, Jingbo Sun
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Turbomachinery, Propulsion and Power
Subjects:
data mining
aero-engine
algorithm library
anomaly detection
baseline construction
Online Access:https://www.mdpi.com/2504-186X/8/1/3

Internet

https://www.mdpi.com/2504-186X/8/1/3

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