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航空发动机尾气电场与工作状态关联关系的试验研究

吕建勋 王康 刘昕宇 袁海文 魏鹏

测控技术2026,Vol.45Issue(8):27-32,49,7.
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测控技术2026,Vol.45Issue(8):27-32,49,7.DOI:10.19708/j.ckjs.2026.07.225

航空发动机尾气电场与工作状态关联关系的试验研究

Experimental Study on Correlation Between Exhaust Electric Field and Operating Conditions of Aero-Engine

吕建勋 1王康 1刘昕宇 2袁海文 1魏鹏3

作者信息

  • 1. 北京航空航天大学自动化科学与电气工程学院,北京 100191
  • 2. 海思技术有限公司,北京 100095
  • 3. 中国科学院半导体研究所,北京 100083
  • 折叠

摘要

Abstract

Perception and acquisition of aero-engine operating conditions are crucial for engine condition moni-toring,playing a significant role in fault diagnosis and performance evaluation.Existing monitoring techniques predominantly rely on offline or off-board methods,requiring complex facilities and professional interpretation,which entail high expertise demands and long processing times.To address the limitations of current ground-based aero-engine monitoring technologies,the correlation between the spatial characteristics of the exhaust e-lectric field and the operating states of the engine is investigated through experimental study,and the feasibility of engine condition monitoring based on exhaust electric field measurement is explored.A non-contact detection platform based on electric field sensor array is developed,and ground tests are conducted using a small turbojet engine,and exhaust electric field data of the engine under different operating conditions are obtained.Com-bined with data-driven methods,the feasibility of utilizing external electric field signals to assess engine per-formance is verified.The research demonstrates the effectiveness of exhaust electric field signals as a novel in-formation source for aero-engine monitoring,supporting the development of easily deployable engine health management technologies.

关键词

航空发动机/电场传感/非接触式检测/数据驱动方法

Key words

aero-engine/electric field sensing/non-contact detection/data-driven analysis

分类

信息技术与安全科学

引用本文复制引用

吕建勋,王康,刘昕宇,袁海文,魏鹏..航空发动机尾气电场与工作状态关联关系的试验研究[J].测控技术,2026,45(8):27-32,49,7.

基金项目

先进航空动力创新工作站(依托中国航空发动机研究院设立)第三批项目(HKCX2022-01-006) (依托中国航空发动机研究院设立)

中央高校基本科研业务费专项资金(501XYGG2025103007) (501XYGG2025103007)

测控技术

1000-8829

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