兵工自动化
兵工自動化
병공자동화
ORDNANCE INDUSTRY AUTOMATION
2013年
8期
68-70,80
,共4页
Hilbert-Huang变换%雷达发射机%故障特征提取%集合经验模态分解
Hilbert-Huang變換%雷達髮射機%故障特徵提取%集閤經驗模態分解
Hilbert-Huang변환%뢰체발사궤%고장특정제취%집합경험모태분해
Hilbert-Huang transform%radar transmitter%fault feature extraction%ensemble empirical mode decomposition
为解决目前难以准确提取非线性、非平稳雷达发射机故障信号特征的问题,提出一种基于Hilbert-Huang变换(HHT)的雷达发射机故障特征提取方法。介绍 HHT中瞬时频率和本征模态函数的概念,给出 HHT中经验模态分解及其改进算法集合经验模态分解的具体过程。通过对发射机开关电源输入整流滤波电路的仿真,仿真故障电压信号经过集合经验模态分解得到若干本征模态函数,对其中一个本征模态函数进行Hilbert变换提取瞬时频率。计算结果表明:基于HHT的雷达发射机故障特征提取所得的瞬时频率物理意义明确,能够充分可靠地检测故障信息、提取故障特征。
為解決目前難以準確提取非線性、非平穩雷達髮射機故障信號特徵的問題,提齣一種基于Hilbert-Huang變換(HHT)的雷達髮射機故障特徵提取方法。介紹 HHT中瞬時頻率和本徵模態函數的概唸,給齣 HHT中經驗模態分解及其改進算法集閤經驗模態分解的具體過程。通過對髮射機開關電源輸入整流濾波電路的倣真,倣真故障電壓信號經過集閤經驗模態分解得到若榦本徵模態函數,對其中一箇本徵模態函數進行Hilbert變換提取瞬時頻率。計算結果錶明:基于HHT的雷達髮射機故障特徵提取所得的瞬時頻率物理意義明確,能夠充分可靠地檢測故障信息、提取故障特徵。
위해결목전난이준학제취비선성、비평은뢰체발사궤고장신호특정적문제,제출일충기우Hilbert-Huang변환(HHT)적뢰체발사궤고장특정제취방법。개소 HHT중순시빈솔화본정모태함수적개념,급출 HHT중경험모태분해급기개진산법집합경험모태분해적구체과정。통과대발사궤개관전원수입정류려파전로적방진,방진고장전압신호경과집합경험모태분해득도약간본정모태함수,대기중일개본정모태함수진행Hilbert변환제취순시빈솔。계산결과표명:기우HHT적뢰체발사궤고장특정제취소득적순시빈솔물리의의명학,능구충분가고지검측고장신식、제취고장특정。
A method of fault feature extraction for radar transmitter based on Hilbert-Huang Transform (HHT) is put forward for improving the accuracy of fault feature extraction in nonlinear and non-stationary radar transmitter fault signal. Introduce the concepts of instantaneous frequency (IF) and intrinsic mode function (IMF), and provide the specific process of empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) as an improvement method. Simulate the input rectifier and filter circuit of switching power supply in radar transmitter. Get a number of IMFs from fault voltage signal by EEMD, and the IF from one of the IMFs by Hilbert transform. The calculation result proved that, the IF has definite physical meaning based on the HHT, and HHT can detect fault information and extract fault feature for radar transmitter fully and reliably.