李秋红
Associate Professor Supervisor of Master's Candidates
Gender:Female
Alma Mater:南京航空航天大学
Education Level:南京航空航天大学
Degree:Doctoral Degree in Engineering
School/Department:College of Energy and Power Engineering
Discipline:Aerospace Propulsion Theory and Engineering. Power Machinery and Engineering
Business Address:A10-512
E-Mail:
Hits:
Affiliation of Author(s):能源与动力学院
Journal:Tuijin Jishu
Abstract: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 No.:1001-4055
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Pan, Yang,Wang Yuan
Correspondence Author:LI qiuhong
专业型I:能源与动力