小涵道比涡扇发动机机载气路故障诊断研究综述：边界条件与研究难点

Onboard gas path fault diagnosis module， an essential component of the engine prognostics and health management system， plays a critical role in promoting condition-based maintenance， significantly reducing engine maintenance costs and enhancing operational availability during wartime. This paper focuses on the research of onboard gas path fault diagnosis for low-bypass turbofan engines. It first reviews the development history and current state of model-based and data-driven gas path fault diagnosis methods， both domestically and internationally， with a focus on the application and improvement strategies of these methods from an onboard perspective. Next， this paper outlines the application requirements， problem boundaries， and technical indicators of onboard gas path fault diagnosis methods， and briefly identifies common pitfalls in the research process. Then， considering the characteristics of low-bypass turbofan engines， the paper summarizes six major research challenges in the onboard implementation of gas path fault diagnosis methods from the perspectives of data simulation， operating conditions， measurement uncertainty， fault feature mining， false alarm handling， and real-time performance. It also analyzes 18 corresponding solution strategies for these research challenges based on existing literature. Finally， the paper concludes with suggestions and prospects regarding algorithm interpretability， rapid validation of metrics， fault tolerance， and robust diagnosis under fault conditions.