航空发动机尾气电场与工作状态关联关系的试验研究OA

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.