基于混合驱动的航空发动机气路故障诊断技术综述

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中图分类号：TP277 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.06.16

Abstract：Developing gas path-based health management technology for aero engines is crucial for improving engine safety and minimizing maintenance costs.This paper begins by introducing the evolutionof gas path-based health management technology for aero engines. It then systematically summarizes the current research on gas path fault diagnosis methods based on the clasification of model-driven，data-driven，and hybrid-driven approaches，and presents the data-model hybrid driven fault diagnosis method.Additionall，the paper reviews aero-engine modeling methods，aero-engine sensor fault diagnosis methods，and aero-engine gas path performance prediction techniques，discussing their characteristics，advantages，and limitations.Finaly， the paper concludes by summarizing the emerging trends and chalenges of aero-engine gas path fault diagnosis technology.Hybrid-driven methods demonstrate significant potential in enhancing theaccuracy，generalization， and enginering applicability of gas path fault diagnosis，providing new directions for health management under complex operating conditions.

Keywords：hybrid method；aero engine gas path fault diagnosis；sensorfault diagnostics；data-driven methods

0 引言

航空发动机在极端恶劣的环境下工作，包括高温、高压、高转速等，因此对其安全性和可靠性有较高的要求。（剩余40403字）