电源技术2011，Vol.35Issue(5)：563-566,4.
飞机开关磁阻发电系统故障推理模型研究
Fault deducing model research of switched reluctance power system of airplane based on PHM
摘要
Abstract
The switched reluctance power system is the com of airplane power system. In order to research the application of PHM in the power system of airplane, reduce the measure parameters of the fault deducing model,and satisfy the requirements of airplane dependability, the typical electric faults of SRG was carefully analyzed in this paper with MATLAB, and the memory module was used to solve the algebraic loop problem. The SRG voltage signal with EMD was analyzed, and the decomposed signal as character data was used to train the neural network and gain the fault concluding model of SRG main electrical power system. Only one parameter of the output voltage was needed to be measured with this model, which reduced the number of the measured parameters and was meaningful to the research of the prognostic model and PHM system of power system.关键词
开关磁阻发电机/EMD/MATLAB/simulink/神经网络/故障Key words
switched reluctance generator/ EMD/ MATLAB/simulink/ artificial neural network/ fault分类
信息技术与安全科学引用本文复制引用
李宁,雷洪利,韩建定,朱喜华..飞机开关磁阻发电系统故障推理模型研究[J].电源技术,2011,35(5):563-566,4.基金项目
陕西省自然科学基金(SJ08F05) （SJ08F05）
