基于Bayes网络的多源信息融合方法在精度评定中的应用

提出了一种基于多源验前信息融合的Bayes精度评定方法。利用Bayes网络进行多源验前信息融合时,能够结合现场试验数据,对信息加权因子做出较为合理的推断。根据验前及验后数据,通过Bayes网络中的MC—MC方法可以快速地获取各变量的验后统计特性,达到估计现场试验精度的目的。因此,基于多源验前信息融合的Bayes方法可用于解决小样本下的精度评定问题,仿真结果表明了该方法的有效性。     

Estimation of sediment settling velocity in estuarine and coastal waters using optical remote sensing data

A robust method has been developed for estimating sediment settling velocity (w_s) from high resolution optical remote sensing data in estuarine, coastal and harbor waters. This method estimates settling velocity as a function of the drag coefficient (C_d), Reynolds number (Re), grain size (D₅₀), specific gravity (Δ_SG) and grain shape (in terms of the Corey Shape Factor – CSF). These parameters were derived from the particulate inherent optical properties such as backscattering (b_bp), beam attenuation (c_p), suspended sediment concentration and turbidity using Landsat 8 OLI and HICO data. Preliminary results for the Gulf of Cambay in the eastern Arabian Sea and Yangtze river estuary in the East China Sea, showed that satellite-retrieved settling velocities (m?s^?1) varied from very low values in clear oceanic waters, intermediate values in coastal waters, to very high values in river plumes and sediment-laden coastal waters. The remote sensing retrievals of sediment properties and their settling velocities were generally consistent with the field and laboratory results, which indicate that the proposed methodology will have important implications in various coastal engineering, environmental and management studies.     

自适应滤波技术的研究

应用常规卡尔曼滤波器(KF)要求知道系统精确的数学模型和系统噪声与量测噪声的统计特性,才能获得理想的滤波效果,否则可能产生发散现象。人们越来越倾向于利用自适应滤波(AKF)技术来解决发散的问题。针对AKF技术的研究现状,本文探讨一种结构简单、实时性较强、工程上比较实用的AKF算法。仿真结果表明,这种算法具有较强的自适应性,为一种实用而有效的滤波方法。     

导弹舵机非线性因素对高精度姿态控制影响的研究

舵机在制造、安装等过程中产生的非线性因素,会对导弹的飞行状态造成相应影响。在进行某型导弹全数字仿真时,为了研究非线性因素产生的影响,介绍了舵机中存在的典型非线性因素特性,建立了包含线性舵机模型的发射坐标系下的导弹六自由度模型,并在线性舵机环节中依次添加死区、间隙、零位偏移等非线性因素,分别进行仿真实验。通过数据对比得出了分别添加死区和间隙时对攻角具有较大影响,零位偏移的方向决定了其对滚转角和攻角的影响程度,但仍均满足飞行任务要求的控制精度的结论。     

电传民机高速保护功能应用分析

高速保护功能作为主动控制技术之一,已在当代电传民机上广泛应用。结合空客电传民机设计实例,首先分析了该功能的必要性和设计目标;其次探讨了该功能的设计考虑,包括高速保护裕度考虑、高速保护方案考虑和故障情况下的考虑;最后阐述了高速保护与其它包线保护功能的关系,包括与滚转角保护的关系、与俯仰角保护的关系和与法向过载保护的关系。     

航空发动机材料疲劳可靠性试验设计

为了经济合理地进行航空发动机材料疲劳性能试验设计,并保证试验结果的“可比性冶“与“再现性”,根据t分布理论,按一定置信度和误差度要求,给出确定最少试件个数的判据;借助单侧容限系数,给出具有置信度的百分位值。     

An unsupervised pattern recognition methodology based on factor analysis and a genetic-DBSCAN algorithm to infer operational conditions from strain measurements in structural applications

Structural Health Monitoring (SHM) suggests the use of machine learning algorithms with the aim of understanding specific behaviors in a structural system. This work introduces a pattern recognition methodology for operational condition clustering in a structure sample using the well known Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. The methodology was validated using a data set from an experiment with 32 Fiber Bragg Gratings bonded to an aluminum beam placed in cantilever and submitted to cyclic bending loads under 13 different operational conditions (pitch angles). Further, the computational cost and precision of the machine learning pipeline called FA + GA-DBSCAN (which employs a combination of machine learning techniques including factor analysis for dimensionality reduction and a genetic algorithm for the automatic selection of initial parameters of DBSCAN) was measured. The obtained results have shown a good performance, detecting 12 of 13 operational conditions, with an overall precision over 90%.     

TFM imaging of aeroengine casing ring forgings with curved surfaces using acoustic field threshold segmentation and vector coherence factor

The aeroengine casing ring forgings have complex cross-section shapes, when the conventional ultrasonic or phased array is applied to detect such curved surfaces, the inspection images always have low resolution and even artifacts due to the distortion of the wave beam. In this article, taking a type of aeroengine casing ring forging as an example, the Total Focusing Method (TFM) algorithms for curved surfaces are investigated. First, the Acoustic Field Threshold Segmentation (AFTS) algorithm is proposed to reduce background noise and data calculation. Furthermore, the Vector Coherence Factor (VCF) is adopted to improve the lateral resolution of the TFM imaging. Finally, a series of 0.8 mm diameter Side-Drilled Holes (SDHs) are machined below convex and concave surfaces of the specimen. The quantitative comparison of the detection images using the conventional TFM, AFTS-TFM, VCF-TFM, and AFTS-VCF-TFM is implemented in terms of data volume, imaging Signal-to-Noise Ratio (SNR), and defect echo width. The results show that compared with conventional TFM, the data volume of AFTS-VCF-TFM algorithm for convex and concave is decreased by 32.39% and 73.40%, respectively. Moreover, the average SNR of the AFTS-VCF-TFM is gained up to 40.0 dB, while the average 6 dB-drop echo width of defects is reduced to 0.74 mm.