Machine harvesting increases the foreign matter content of seed cotton. Excessive cleaning causes fiber damage and economic loss. Most trading companies in the Xinjiang Uygur Autonomous Region, China have indicated re...Machine harvesting increases the foreign matter content of seed cotton. Excessive cleaning causes fiber damage and economic loss. Most trading companies in the Xinjiang Uygur Autonomous Region, China have indicated reluctance to use machine-harvested cotton. The first objective was to determine how the fiber quality was affected by the ginning and lint cleaning and how the fiber damage during levels of lint cleaning changed. The second objective was to determine the optimum number of lint cleaners for machine-harvested cotton based on fiber damage. Cotton samples were collected from 13 fields and processed in seven ginneries between 2013 and 2015. The results indicated that ginning and lint cleaning didn＇t have significant effect on fiber strength and significantly affected both fiber length and short fiber index. Fiber length was reduced by more than 1.00 mm from six of 13 fields after lint cleaning, then the damage rate on short fiber index from 11 of 13 fields was more than 20%. The third lint cleaning caused great fiber damage, reducing fiber length by 0.35 mm and increasing short fiber index by 0.65%. So, the lint should be cleaned by one lint cleaner in the Xinjiang, however, the stage of lint cleaning was sometimes omitted when the foreign matter content of lint was little.展开更多
为了提升分布式传感器场景下对于宽带辐射源的定位效果,本文提出了一种基于到达时间差(Time Difference Of Arrival,TDOA)的多频率聚焦与融合的相干辐射源直接定位(Direct Position Determination,DPD)方法 .首先,对衰减系数未知的传感...为了提升分布式传感器场景下对于宽带辐射源的定位效果,本文提出了一种基于到达时间差(Time Difference Of Arrival,TDOA)的多频率聚焦与融合的相干辐射源直接定位(Direct Position Determination,DPD)方法 .首先,对衰减系数未知的传感器时域接收信号进行预处理,进行数据分段和频域变换,将宽带信号转化成若干个多快拍窄带频域信号;其次,根据最佳聚焦矩阵构造准则,构造聚焦矩阵,将各频率对应的信号聚焦到中心频率附近频谱能量最大的聚焦频率,得到聚焦后的接收数据;然后,根据子空间正交性建立关于辐射源位置的最小化代价函数,融合多个聚焦后的代价函数解决衰减系数未知的问题;最后,结合拉格朗日乘子法,通过网格点上代价函数值的谱峰搜索得到宽带辐射源的估计位置.所提方法可以在衰减系数未知的情况下实现相干辐射源的高精度定位,仿真和实际测试结果表明本文所提方法的有效性,在信噪比大于0 dB的四节点多径定位场景中,所提方法的定位性能较其他时差直接定位性能提升了30%以上.展开更多
The time-varying autoregressive （TVAR） modeling of a non-stationary signal is studied. In the proposed method, time-varying parametric identification of a non-stationary signal can be translated into a linear time-i...The time-varying autoregressive （TVAR） modeling of a non-stationary signal is studied. In the proposed method, time-varying parametric identification of a non-stationary signal can be translated into a linear time-invariant problem by introducing a set of basic functions. Then, the parameters are estimated by using a recursive least square algorithm with a forgetting factor and an adaptive time-frequency distribution is achieved. The simulation results show that the proposed approach is superior to the short-time Fourier transform and Wigner distribution. And finally, the proposed method is applied to the fault diagnosis of a bearing , and the experiment result shows that the proposed method is effective in feature extraction.展开更多
基金supported by the National Key Technology R&D Program of China (2014BAD09B03)the National Natural Science Foundation of China (31560366)
文摘Machine harvesting increases the foreign matter content of seed cotton. Excessive cleaning causes fiber damage and economic loss. Most trading companies in the Xinjiang Uygur Autonomous Region, China have indicated reluctance to use machine-harvested cotton. The first objective was to determine how the fiber quality was affected by the ginning and lint cleaning and how the fiber damage during levels of lint cleaning changed. The second objective was to determine the optimum number of lint cleaners for machine-harvested cotton based on fiber damage. Cotton samples were collected from 13 fields and processed in seven ginneries between 2013 and 2015. The results indicated that ginning and lint cleaning didn＇t have significant effect on fiber strength and significantly affected both fiber length and short fiber index. Fiber length was reduced by more than 1.00 mm from six of 13 fields after lint cleaning, then the damage rate on short fiber index from 11 of 13 fields was more than 20%. The third lint cleaning caused great fiber damage, reducing fiber length by 0.35 mm and increasing short fiber index by 0.65%. So, the lint should be cleaned by one lint cleaner in the Xinjiang, however, the stage of lint cleaning was sometimes omitted when the foreign matter content of lint was little.
文摘为了提升分布式传感器场景下对于宽带辐射源的定位效果,本文提出了一种基于到达时间差(Time Difference Of Arrival,TDOA)的多频率聚焦与融合的相干辐射源直接定位(Direct Position Determination,DPD)方法 .首先,对衰减系数未知的传感器时域接收信号进行预处理,进行数据分段和频域变换,将宽带信号转化成若干个多快拍窄带频域信号;其次,根据最佳聚焦矩阵构造准则,构造聚焦矩阵,将各频率对应的信号聚焦到中心频率附近频谱能量最大的聚焦频率,得到聚焦后的接收数据;然后,根据子空间正交性建立关于辐射源位置的最小化代价函数,融合多个聚焦后的代价函数解决衰减系数未知的问题;最后,结合拉格朗日乘子法,通过网格点上代价函数值的谱峰搜索得到宽带辐射源的估计位置.所提方法可以在衰减系数未知的情况下实现相干辐射源的高精度定位,仿真和实际测试结果表明本文所提方法的有效性,在信噪比大于0 dB的四节点多径定位场景中,所提方法的定位性能较其他时差直接定位性能提升了30%以上.
基金This paper is supported by National Natural Science Foundation of China under Grant No.50675209 InnovationFund for Outstanding Scholar of Henan Province under Grant No. 0621000500
文摘The time-varying autoregressive （TVAR） modeling of a non-stationary signal is studied. In the proposed method, time-varying parametric identification of a non-stationary signal can be translated into a linear time-invariant problem by introducing a set of basic functions. Then, the parameters are estimated by using a recursive least square algorithm with a forgetting factor and an adaptive time-frequency distribution is achieved. The simulation results show that the proposed approach is superior to the short-time Fourier transform and Wigner distribution. And finally, the proposed method is applied to the fault diagnosis of a bearing , and the experiment result shows that the proposed method is effective in feature extraction.
