计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2015年
5期
185-190,196
,共7页
邵景峰%王进富%白晓波%雷霞%刘聪颖
邵景峰%王進富%白曉波%雷霞%劉聰穎
소경봉%왕진부%백효파%뢰하%류총영
数据拟合%织造过程%生产监控%经验模态分解%信号处理
數據擬閤%織造過程%生產鑑控%經驗模態分解%信號處理
수거의합%직조과정%생산감공%경험모태분해%신호처리
data fitting%weaving process%production monitoring%Empirical Mode Decomposition(EMD)%signal proc-essing
为确保织造过程坯布的质量稳定性和产量数据采集的准确性,对已有织造数据拟合方法进行应用对比分析,针对其在非线性织机声信号处理方面的不足,从不确定因素形成机理的角度对影响坯布质量波动的原因进行理论分析。利用经验模态分解算法在非线性信号处理方面的优势,构建一种改进的在线织造数据拟合方法,并将其应用于织机声信号特征的实时提取。实验结果表明,与现有数据拟合方法相比,该方法拟合处理后的坯布质量明显提高,有效确保织造过程坯布质量的稳定性和产量数据采集的准确性。
為確保織造過程坯佈的質量穩定性和產量數據採集的準確性,對已有織造數據擬閤方法進行應用對比分析,針對其在非線性織機聲信號處理方麵的不足,從不確定因素形成機理的角度對影響坯佈質量波動的原因進行理論分析。利用經驗模態分解算法在非線性信號處理方麵的優勢,構建一種改進的在線織造數據擬閤方法,併將其應用于織機聲信號特徵的實時提取。實驗結果錶明,與現有數據擬閤方法相比,該方法擬閤處理後的坯佈質量明顯提高,有效確保織造過程坯佈質量的穩定性和產量數據採集的準確性。
위학보직조과정배포적질량은정성화산량수거채집적준학성,대이유직조수거의합방법진행응용대비분석,침대기재비선성직궤성신호처리방면적불족,종불학정인소형성궤리적각도대영향배포질량파동적원인진행이론분석。이용경험모태분해산법재비선성신호처리방면적우세,구건일충개진적재선직조수거의합방법,병장기응용우직궤성신호특정적실시제취。실험결과표명,여현유수거의합방법상비,해방법의합처리후적배포질량명현제고,유효학보직조과정배포질량적은정성화산량수거채집적준학성。
To ensure the stability of fabric quality and the accuracy of yield data acquisition in the weaving process,the existed data fitting methods are comparatively analyzed, and aiming at the shortage in the nonlinear loom sound signal processing aspects of these methods, the reasons why the fabric quality fluctuates are theoretically analyzed from the formation mechanism of uncertainty factors. Being combined with the advantage in the nonlinear signal process of Empirical Mode Decomposition( EMD) algorithm,an online weaving data fitting method based on EMD is constructed,and EMD is applied in the real-time acoustic signal characteristic extraction process of weaving machinery. Experimental results show that compared with the existed data fitting methods,the method of EMD significantly improves the fabric quality index,and effectively ensures the stability of fabric quality in the weaving process,and the accuracy of yield data acquisition.