织物折皱弹性实验数据分析.ppt

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1、织物折皱弹性实验分析长春工业大学纺织服装学院纺织工程专业杨启亮ABCD急弹缓弹急弹缓弹急弹缓弹急弹缓弹J91.1985763.33845.764.972.4J3847.751.268.53840.652.958.4J3856.478.484.33844.83844.3J83.587.757.165.33869.451.160.7J103.4104.379.1103.753.561.7W106.8113.379.990.790.6102.2112.3122.2W104.2116.4109.9124.797.3109.7103.8107.8W147.9156.36

2、4.274.3105.6117.299.3110.5W105.2115.764.377.3105116.2104.4114.9W141.2153.86675.4100.8111.6数据分析和处理原始数据ABCD急弹缓弹急弹缓弹急弹缓弹急弹缓弹J91.1985763.33845.764.972.4J3847.751.268.53840.652.958.4J3856.478.484.33844.83844.3J83.587.757.165.33869.451.160.7J103.4104.379.1103.753.561.7W106.8113.379.990.79

3、0.6102.2112.3122.2W104.2116.4109.9124.797.3109.7103.8107.8W147.9156.364.274.3105.6117.299.3110.5W105.2115.764.377.3105116.2104.4114.9W141.2153.86675.4100.8111.6明显错误数据剔除数据分析和处理编号经向急弹经向缓弹纬向急弹纬向缓弹151.160.764.274.3251.268.564.377.3352.958.466.075.4453.561.779.990.7557.063.390.6102.2657.

4、165.397.3109.7764.972.499.3110.5878.484.3100.8111.6979.1103.7103.8107.81083.587.7104.2116.41191.198.0104.4114.912103.4104.3105.0116.213105.2115.714105.6117.215106.8113.316109.9124.717112.3122.218141.2153.819147.9156.3格布拉斯异常值判断及处理若只对剔除明显错误之后的原始数据用格布拉斯法进行异常值判断，得出的结果是原始数据中无异常值。但是我们通过观察

5、最大值和最小值就可以看出异常值任可能存在，只是没有被找出。我们可以从急弹读数之后的缓弹读数之前那5分钟入手。用缓弹数值—急弹数值可以得出这5分钟织物回复角度的变化量。数据分析和处理何为格布拉斯请看PPT最后一页编号经向急弹经向缓弹缓-急纬向急弹纬向缓弹缓-急151.160.79.664.274.310.1251.268.517.364.377.313352.958.45.566.075.49.4453.561.78.279.990.710.8557.063.36.390.6102.211.6657.165.38.297.3109.712.4764.972.47

6、.599.3110.511.2878.484.35.9100.8111.610.8979.1103.724.6103.8107.841083.587.74.2104.2116.412.21191.198.06.9104.4114.910.512103.4104.30.9105.0116.211.213105.2115.710.514105.6117.211.615106.8113.36.516109.9124.714.817112.3122.29.918141.2153.812.619147.9156.38.4格布拉斯异常值判断及处理数据分析和处理编号经向急弹

7、经向缓弹缓-急纬向急弹纬向缓弹缓-急151.160.79.664.274.310.1252.958.45.564.377.313353.561.78.266.075.49.4457.063.36.379.990.710.8557.165.38.290.6102.211.6664.972.47.597.3109.712.4778.484.35.999.3110.511.2883.587.74.2100.8111.610.8991.198.06.9104.2116.412.21068.677.368.758104.4114.910.511105.0116.211.

8、212105.2115.710.513