摘要
介绍了COMPASS软件和基于粗糙神经网络模型的新型故障诊断技术。对某航空公司运营中的ERJ145飞机双发AE3007发动机进行的故障诊断和研究表明,粗糙神经网络模型在故障诊断中的适用性和可信性很强,能够为航空发动机故障诊断提供有效参考。
The COMPASS software and a new fault diagnosis technology based on rough neural network model were introduced. The fault diagnosis investigation of twin AE3007 aeroengine of an operating ERJ145 airplane shows that rough neural network has considerable adaptability and reliability in fault diagnosis, and provides effective references for the aeroengine fault diagnosis.
出处
《航空发动机》
2010年第2期22-25,30,共5页
Aeroengine
基金
国家自然科学基金资助(60572185/f01)
