煤
煤
매
COAL
2014年
7期
14-15,33
,共3页
通风机%风压特性曲线%拟合方程%最佳次数
通風機%風壓特性麯線%擬閤方程%最佳次數
통풍궤%풍압특성곡선%의합방정%최가차수
ventilator%wind pressure curve%fitting equation%the best times
根据数值分析中最小二乘法的基本原理，按照解系数矩阵的方法，运用 origin7.5软件对 K40-6-№.15风机在叶片角为36°时的通风机风压特性曲线进行拟合，验证了最佳拟合次数，并确定了最佳拟合次数下的最优拟合方程，最后得出当拟合次数达到5次时拟合度最优，而并非拟合次数越高，拟合度也越高的结论。
根據數值分析中最小二乘法的基本原理，按照解繫數矩陣的方法，運用 origin7.5軟件對 K40-6-№.15風機在葉片角為36°時的通風機風壓特性麯線進行擬閤，驗證瞭最佳擬閤次數，併確定瞭最佳擬閤次數下的最優擬閤方程，最後得齣噹擬閤次數達到5次時擬閤度最優，而併非擬閤次數越高，擬閤度也越高的結論。
근거수치분석중최소이승법적기본원리，안조해계수구진적방법，운용 origin7.5연건대 K40-6-№.15풍궤재협편각위36°시적통풍궤풍압특성곡선진행의합，험증료최가의합차수，병학정료최가의합차수하적최우의합방정，최후득출당의합차수체도5차시의합도최우，이병비의합차수월고，의합도야월고적결론。
According to the basic principle of least square method in numerical analysis,according to the solution of the coefficient ma-trix,it adopt origin7. 5 softwave K40 - 6 - №. 15 fan for fitting on wind pressure characteristic curve when the blade angle is 36 °fan,it verify the number of best fit,it determined the best fit under the number of optimal fitting equation,finally it is concluded that when the fit of the fitting number reaches 5 times the optimal,the number of fitting is higher,but the fitting degree isn′t higher.
