ID	原文	译文
8694	由于遮挡等问题,联合概率数据关联算法得到的往往是目标的轨迹片段。	Because the problems, such as block joint probability data association algorithm is often the target of the trajectory of fragment.
8695	针对上述问题,首先利用线性规划自适应迭代求解m个最优联合事件简化联合概率数据关联算法,然后提出基于Kalman滤波及外推法的双向运动预测计算轨迹间的距离矩阵,用近邻传播聚类对目标的轨迹片段进行关联。	Aiming at these problems, first of all, using the linear programming optimal joint adaptive iteration m event simplified joint probability data association algorithm, then proposed based on Kalman filtering and extrapolation of bidirectional motion prediction matrix to calculate the distance between tracks, spread with neighbor clustering of target track pieces.
8696	实验结果表明,本文提出的方法在目标多且容易发生遮挡的情况下仍能够实时有效的跟踪,提高了跟踪准确度,具有一定的抗干扰能力。	Experimental results show that the method proposed in this paper under the condition of the target is much and prone to keep out still can real-time tracking effectively, improves the tracking accuracy and has certain anti-interference ability.
8697	特征提取和健康状态的辨识是复杂系统健康状态评估中的关键问题。	Feature extraction and identification of health status is the key issues in the complex system health assessment.Put forward a new method for evaluating the health status, the method is divided into three steps:
8698	提出一种新的健康状态评估方法,该方法分为3个步骤:首先,采用经验模态分解(empirical model decomposition,EMD)和奇异值分解(singular value decomposition,SVD)来提取振动信号的特征变量。	first, using empirical mode decomposition (empirical model decomposition, the EMD) and singular value decomposition (singular value decomposition, SVD) to extract the vibration signal characteristic variables.
8699	然后,运用马田系统(Mahalanobis-Taguchi system,MTS)构造马氏空间,并对其进行优化,从而降低特征变量的维度。	Then, use of Martin system (Mahalanobis - Taguchi system, MTS) markov space structure, and carries on the optimization, thus reducing feature variable dimension.
8700	最后,提出了一种健康度(health index,HI)的概念,并且用来对复杂系统健康问题进行评估。	Finally, this paper proposes a health (health index, HI) concept, and used to evaluate health problems for complex systems.
8701	该方法成功地应用在轴承的健康状态评估中。	The method is successfully applied in bearing health status evaluation.
8702	研究了地海交界分区域复合粗糙面的建模方法及其电磁散射特性。	Studied the sea border points to regional composite rough surface modeling method and its electromagnetic scattering characteristics.
8703	采用蒙特卡罗方法建立地海交界分区域复合粗糙面模型,采用高斯谱模拟实际地面,采用变浅系数与北海联合海浪计划(joint north sea wave project,JONSWAP)谱结合而成的有限水深海谱模拟实际近海海面,基于分区域复合粗糙面建模理论,运用多种加权反正切函数处理实现了线型、月牙型、峡谷型自然环境。	Monte carlo method is adopted to establish the sea border points regional composite rough surface model, the gaussian spectrum simulation actual ground, the variable coefficient of shallow and the north sea waves plan (to be north sea wave project, JONSWAP) spectral combination of limited spectrum simulation actual offshore deep sea water, based on regional composite rough surface modeling theory, using a variety of weighted the arctangent function to realize the linear type, crescent, canyons, the natural environment.