Dynamic Health Monitoring of Aero-Engine Gas-Path System Based on SFA-GMM-BID

Dynamic Health Monitoring of Aero-Engine Gas-Path System Based on SFA-GMM-BID

This paper proposes a dynamic health monitoring method for aero-engines by extracting more hidden information from the raw values of gas-path parameters based on slow feature analysis (SFA) and the Gaussian mixture model (GMM) to improve the capability of detecting gas-path faults of aero-engines. F...

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Bibliographic Details
Main Authors: Dewen Li, Yang Li, Tianci Zhang, Jing Cai, Hongfu Zuo, Ying Zhang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
aero-engine
slow feature analysis
Gaussian mixture model
Bayesian inference distance
dynamic threshold
Online Access:https://www.mdpi.com/2079-9292/12/14/3199

Internet

https://www.mdpi.com/2079-9292/12/14/3199

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