基于EMD與分批估計(jì)的動(dòng)態(tài)稱量快速融合方法
發(fā)布時(shí)間:2018-09-06 07:47
【摘要】:活體動(dòng)物動(dòng)態(tài)稱量在生物醫(yī)學(xué)實(shí)驗(yàn)中具有舉足輕重的作用。為實(shí)現(xiàn)活體動(dòng)物快速、準(zhǔn)確的稱量,提出基于EMD與分批估計(jì)相結(jié)合的動(dòng)態(tài)稱量信息融合方法:首先利用經(jīng)驗(yàn)?zāi)B(tài)分解(EMD)方法解析活體動(dòng)物動(dòng)態(tài)稱量的采樣信號(hào),提取表征采樣信號(hào)的趨勢(shì)或均值的殘余量,計(jì)算各階本征模函數(shù)(IMF)與采樣信號(hào)的相關(guān)系數(shù),根據(jù)相關(guān)系數(shù)分辨虛假IMF,并將虛假IMF和原殘余量之和作為新殘余量;然后對(duì)新殘余量進(jìn)行分批估計(jì),消除各種噪聲、擾動(dòng)對(duì)稱量結(jié)果的影響,獲得準(zhǔn)確的動(dòng)態(tài)稱量值。通過建立動(dòng)態(tài)稱量系統(tǒng)的仿真模型,對(duì)基于EMD與分批估計(jì)相結(jié)合的動(dòng)態(tài)稱量信息融合方法進(jìn)行了仿真實(shí)驗(yàn),仿真結(jié)果表明該算法準(zhǔn)確度高。為了驗(yàn)證基于EMD與分批估計(jì)相結(jié)合的動(dòng)態(tài)稱量方法的有效性,進(jìn)行標(biāo)準(zhǔn)砝碼的靜態(tài)稱量和小鼠的動(dòng)態(tài)稱量試驗(yàn),實(shí)測(cè)結(jié)果表明該方法穩(wěn)定、可靠,稱量誤差≤±0.5%。
[Abstract]:Dynamic weighing of living animals plays an important role in biomedical experiments. In order to achieve rapid and accurate weighing of live animals, a dynamic weighing information fusion method based on EMD and batch estimation is proposed. Firstly, the empirical mode decomposition (EMD) method is used to analyze the sampling signals of living animals' dynamic weighing. The trend of sampling signal or the residual value of mean value are extracted, and the correlation coefficients between each order eigenmode function (IMF) and the sampling signal are calculated. According to the correlation coefficient, the false IMF, is distinguished and the sum of the false IMF and the original residual is regarded as the new residual. Then the batch estimation of the new residual is carried out to eliminate all kinds of noise and the influence of disturbance on the weighing result. The accurate dynamic weighing value is obtained. By establishing the simulation model of dynamic weighing system, the simulation experiment of dynamic weighing information fusion method based on EMD and batch estimation is carried out. The simulation results show that the algorithm is accurate. In order to verify the validity of the dynamic weighing method based on EMD and batch estimation, the static weighing test of standard weight and the dynamic weighing test of mice are carried out. The measured results show that the method is stable and reliable, and the weighing error is 鈮,
本文編號(hào):2225704
[Abstract]:Dynamic weighing of living animals plays an important role in biomedical experiments. In order to achieve rapid and accurate weighing of live animals, a dynamic weighing information fusion method based on EMD and batch estimation is proposed. Firstly, the empirical mode decomposition (EMD) method is used to analyze the sampling signals of living animals' dynamic weighing. The trend of sampling signal or the residual value of mean value are extracted, and the correlation coefficients between each order eigenmode function (IMF) and the sampling signal are calculated. According to the correlation coefficient, the false IMF, is distinguished and the sum of the false IMF and the original residual is regarded as the new residual. Then the batch estimation of the new residual is carried out to eliminate all kinds of noise and the influence of disturbance on the weighing result. The accurate dynamic weighing value is obtained. By establishing the simulation model of dynamic weighing system, the simulation experiment of dynamic weighing information fusion method based on EMD and batch estimation is carried out. The simulation results show that the algorithm is accurate. In order to verify the validity of the dynamic weighing method based on EMD and batch estimation, the static weighing test of standard weight and the dynamic weighing test of mice are carried out. The measured results show that the method is stable and reliable, and the weighing error is 鈮,
本文編號(hào):2225704
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