现代制造工程
現代製造工程
현대제조공정
MODERN MANUFACTURING ENGINEERING
2014年
7期
127-131
,共5页
小波包%改进Elman神经网络%滚动轴承%故障诊断
小波包%改進Elman神經網絡%滾動軸承%故障診斷
소파포%개진Elman신경망락%곤동축승%고장진단
wavelet packet%improved Elman neural network%rolling bearing%fault diagnosis
针对单一的信号处理方法不易准确诊断出异步电动机滚动轴承故障的问题，提出小波包和改进Elman神经网络相融合的诊断方法。利用小波包对采集的4种不同故障信号的数据进行去噪、分解和重构，有效地提取出不同故障类型的能量特征，并通过引入自反馈因子β构建改进的Elman神经网络。实验诊断结果表明：改进前后的Elman神经网络均能实现对异步电动机滚动轴承的故障诊断，但就诊断时间和精度而言，后者比前者具有更高的诊断效率和准确度。
針對單一的信號處理方法不易準確診斷齣異步電動機滾動軸承故障的問題，提齣小波包和改進Elman神經網絡相融閤的診斷方法。利用小波包對採集的4種不同故障信號的數據進行去譟、分解和重構，有效地提取齣不同故障類型的能量特徵，併通過引入自反饋因子β構建改進的Elman神經網絡。實驗診斷結果錶明：改進前後的Elman神經網絡均能實現對異步電動機滾動軸承的故障診斷，但就診斷時間和精度而言，後者比前者具有更高的診斷效率和準確度。
침대단일적신호처리방법불역준학진단출이보전동궤곤동축승고장적문제，제출소파포화개진Elman신경망락상융합적진단방법。이용소파포대채집적4충불동고장신호적수거진행거조、분해화중구，유효지제취출불동고장류형적능량특정，병통과인입자반궤인자β구건개진적Elman신경망락。실험진단결과표명：개진전후적Elman신경망락균능실현대이보전동궤곤동축승적고장진단，단취진단시간화정도이언，후자비전자구유경고적진단효솔화준학도。
As for the limitations of the single signal processing method is not easy to accurately diagnose fault of asynchronous mo -tor rolling bearing ,the diagnosis method of the wavelet packet and improved Elman neural network are fused is proposed .The ac-quisition data of four different fault signals are denoised ,decomposed and reconstructed using the wavelet packet ,the energy char-acteristics of different fault types is extracted in effect .By introducing the βof a feedback factor build neural network of improved Elman.Experimental results show that both of improved and unimproved Elman neural network can realize the fault diagnosis of a -synchronous motor rolling bearing ,but as for the diagnosis time and accuracy ,the latter is better than the former in the diagnostic efficiency and accuracy .
