空军工程大学学报(自然科学版)
空軍工程大學學報(自然科學版)
공군공정대학학보(자연과학판)
JOURNAL OF AIR FORCE ENGINEERING UNIVERSITY (NATURAL SCIENCE EDITION)
2014年
3期
57-60
,共4页
自适应数学形态滤波器%粒子群算法%转子匝间短路%小波包熵
自適應數學形態濾波器%粒子群算法%轉子匝間短路%小波包熵
자괄응수학형태려파기%입자군산법%전자잡간단로%소파포적
adaptive mathematical morphology filter%particle swarm optimization%rotor inter-turn short circuit fault%wavelet packet entropy
针对常规的数学形态滤波器对定子电流信号滤波效果不理想,提出粒子群算法改进的数学形态滤波器。引用粒子群算法寻找最优的数学形态滤波器中开-闭和闭-开运算的权系数,建立自适应数学形态滤波器模型,对定子电流信号进行滤波处理。结合小波包理论和信息熵理论,提出小波包熵作为故障特征的故障诊断方法。仿真实验对比了 PSO 算法改进的自适应数学形态滤波器和常规数学形态滤波器的滤波效果,计算了滤波后的不同状态信号的小波包熵,并以此进行了转子匝间短路故障诊断,仿真验证表明本方法是有效的。
針對常規的數學形態濾波器對定子電流信號濾波效果不理想,提齣粒子群算法改進的數學形態濾波器。引用粒子群算法尋找最優的數學形態濾波器中開-閉和閉-開運算的權繫數,建立自適應數學形態濾波器模型,對定子電流信號進行濾波處理。結閤小波包理論和信息熵理論,提齣小波包熵作為故障特徵的故障診斷方法。倣真實驗對比瞭 PSO 算法改進的自適應數學形態濾波器和常規數學形態濾波器的濾波效果,計算瞭濾波後的不同狀態信號的小波包熵,併以此進行瞭轉子匝間短路故障診斷,倣真驗證錶明本方法是有效的。
침대상규적수학형태려파기대정자전류신호려파효과불이상,제출입자군산법개진적수학형태려파기。인용입자군산법심조최우적수학형태려파기중개-폐화폐-개운산적권계수,건립자괄응수학형태려파기모형,대정자전류신호진행려파처리。결합소파포이론화신식적이론,제출소파포적작위고장특정적고장진단방법。방진실험대비료 PSO 산법개진적자괄응수학형태려파기화상규수학형태려파기적려파효과,계산료려파후적불동상태신호적소파포적,병이차진행료전자잡간단로고장진단,방진험증표명본방법시유효적。
Rotor inter-turn short circuit fault is hard to be diagnosed because mathematical morphology fil-ter process stator current is not ideal.The method of PSO-adaptive mathematical morphology filtering is used to wipe out the noise interference.Firstly,the best weight coefficient of open-close and close-open op-eration is found by using PSO,and the best de-noise mathematical morphology filtering is built.Secondly, a fault diagnosis method of taking the wavelet packet entropy as a fault character is proposed combined with wavelet packet analysis and information entropy .Finally,the filtering effectiveness of the de-noise result of PSO-ADMMF and that of the conventional mathematical morphology are compared,and the wavelet entropy after de-noise is figured out.The result shows that the method is useful and effective.