摘要
The paper presents a new modeling method applied to fault diagnosis for constant linear closed-loop system by taking the impulse response series as the system model, and provides the calculation process of the method and output of model. The high frequency part of the pulse series, in the method, is reversed so as not to lose the frequency information of the pulse series in its transfer function. On the other hand, the method can also avoid the disadvantage that the learning results of neural network are uncertain every time. In the last part, the application with random disturbance of digital simulation and practical system shows that the modeling method is high accurate and suitable to be applied in fault diagnosis area.
The paper presents a new modeling method applied to fault diagnosis for constant linear closed-loop system by taking the impulse response series as the system model, and provides the calculation process of the method and output of model. The high frequency part of the pulse series, in the method, is reversed so as not to lose the frequency information of the pulse series in its transfer function. On the other hand, the method can also avoid the disadvantage that the learning results of neural network are uncertain every time. In the last part, the application with random disturbance of digital simulation and practical system shows that the modeling method is high accurate and suitable to be applied in fault diagnosis area.
基金
NationalNaturalScienceFoundationofChina(60371043)
BeijingNaturalScienceFoundation(4012009)
NationalDefenseFoundationofChina(51419020404HK0150)
ProgramforNewCenturyExcellentTalentsinUniversity(NCET).
作者简介
CUI Ming-shan Born in 1977, he received B.S. from Beijing University of Aeronautics and Astronautics in 2000 and now read for Ph. D. He is interested in fault diagnosis and system reliability.WANG Shao-ping Born in 1966, she is a professor and studies on reliability of control system and fault diagnosis and electro-mechanical control.JIAO Zong-xia Prof. Jiao studies on optimum design of electro-mechanical system, fluid transmission and control, mechanical hydraulic CAD and hardware-in-the loop simulation of electro-mechanical control system.
