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李秋红

副教授 硕士生导师

招生学科专业:
动力工程及工程热物理 -- 【招收硕士研究生】 -- 能源与动力学院
航空宇航科学与技术 -- 【招收硕士研究生】 -- 能源与动力学院
能源动力 -- 【招收硕士研究生】 -- 能源与动力学院

性别:女

毕业院校:南京航空航天大学

学历:南京航空航天大学

学位:工学博士学位

所在单位:能源与动力学院

办公地点:A10-512

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Aero-engine gas path fault diagnosis based on broyden algorithm

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所属单位:能源与动力学院

发表刊物:Tuijin Jishu

摘要:To solve the problems of slow response speed and poor accuracy in multi-fault diagnosis and off-design point fault diagnosis which arise in aero-engine gas path fault diagnosis based on Kalman filter, an equation-solving fault diagnosis method using the improved Broyden algorithm was proposed. For turbo-shaft engine, the gas path fault diagnosis equations were built. They include 3 equations based on the principle that the model outputs should consist with the engine outputs and 2 balance equations from engine model. The improved Broyden algorithm was used to solve the equations to get the component performance degradation factor and the model guess value. Simulation results show that the max steady-state fault diagnosis error based on the proposed method is less than 0.35% in the envelop for both single fault diagnosis and multi-fault diagnosis, and the maximum operation time of single step is less than 2ms. The result is much better than that of Kalman filter, which shows the advantage of the proposed method. © 2017, Editorial Department of Journal of Propulsion Technology. All right reserved.

ISSN号:1001-4055

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发表时间:2017-01-01

合写作者:Pan, Yang,王媛

通讯作者:李秋红

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