Positioning error compensation for parallel mechanism with two kinematic calibration methods

Compared with serial mechanisms, the parallel mechanism (PM) theoretically exhibited higher positioning accuracy, dynamic performance, strength-to-weight ratio, and lower manufacturing cost, but they had not been widely used in the practical application. One key issue, positioning accuracy, which directly affected their performance and was greatly influenced by the errors of kinematic structure parameters was analyzed. To effectively enhance the positioning precision of PMs, a novel modeless kinematic calibration method, namely the split calibration, was presented and its compensation effect of the positioning error was comprehensively compared with that of an integrated method on two different types of PMs. A strange phenomenon-correct and incorrect identified results were derived from two different PMs by the same integrated method, respectively-which had not been reported yet was discovered, and the origin of it was revealed utilizing numerical simulations. Finally, respective merits and drawbacks of these two methods obtained in this paper provided underlying insights to guide the practical application of the kinematic calibration for PMs.     

Reliability and reliability sensitivity analysis of structure by combining adaptive linked importance sampling and Kriging reliability method

The application of reliability analysis and reliability sensitivity analysis methods to complicated structures faces two main challenges: small failure probability (typical less than 10⁻⁵) and time-demanding mechanical models. This paper proposes an improved active learning surrogate model method, which combines the advantages of the classical Active Kriging – Monte Carlo Simulation (AK-MCS) procedure and the Adaptive Linked Importance Sampling (ALIS) procedure. The proposed procedure can, on the one hand, adaptively produce a series of intermediate sampling density approaching the quasi-optimal Importance Sampling (IS) density, on the other hand, adaptively generate a set of intermediate surrogate models approaching the true failure surface of the rare failure event. Then, the small failure probability and the corresponding reliability sensitivity indices are efficiently estimated by their IS estimators based on the quasi-optimal IS density and the surrogate models. Compared with the classical AK-MCS and Active Kriging – Importance Sampling (AK-IS) procedure, the proposed method neither need to build very large sample pool even when the failure probability is extremely small, nor need to estimate the Most Probable Points (MPPs), thus it is computationally more efficient and more applicable especially for problems with multiple MPPs. The effectiveness and engineering applicability of the proposed method are demonstrated by one numerical test example and two engineering applications.     

Highly efficient computation method for hazard quantification of uncontained rotor failure

Uncontained Engine Rotor Failure (UERF) can cause a catastrophic failure of an aircraft, and the quantitative assessment of the hazards related to UERF is a very important part of safety analysis. However, the procedure for hazard quantification of UERF recommended by the Federal Aviation Administration in advisory circular AC20-128A is cumbersome, as it involves building auxiliary lines and curve projections. To improve the efficiency and general applicability of the risk angle calculation, a boundary discretization method is developed that involves discretizing the geometry of the target part/structure into node points and calculating the risk angles numerically by iterating a particular algorithm over each node point. The improved efficiency and excellent accuracy for the developed algorithm was validated through a comparison with manual solutions for the hazard quantification of the engine nacelle structures of a passenger aircraft using the guidance in AC20-128A. To further demonstrate the applicability of the boundary discretization method, the proposed algorithm was used to examine the influence of the target size and the distance between the target and rotor on the hazard probability.     

飞行员头部特征分析及头型分类方法研究

通过对飞行员进行实地调查,发现目前装备的飞行头盔舒适度并不理想。由此,本文介绍了一种新的头部分析方案,借助光栅投影图像测量技术构建的飞行员头部三维模型,通过数值拟合方法分析获得飞行员的头部特征外形参数。同时按照统计学原理,根据头高、头宽、头长尺寸对飞行员的头型进行了科学地分类。本文描述的外形参数分析方法和头型分类方法可以用在今后大规模飞行员头部特征测量分析以及改进头盔设计的工作中。相关标准对今后头盔设计的改进工作有参考意义。     

AS332L直升机发动机扭矩指示异常故障分析

发动机输出扭矩是直升机运行中重要的监测参数,扭矩异常会严重影响直升机运行,甚至可能导致飞行事故.本文阐述了AS332L直升机发动机扭矩传感器的工作原理,说明了发动机扭矩监测信号的产生、传输和处理过程.以实际维修工作中遇到的发动机扭矩指示异常故障为例,总结了引起扭矩指示异常的故障原因及其处理方法.     

某型飞机排气口异常喷油故障分析与研究

针对某型飞机起飞时燃油系统机翼排气口大量喷油的故障现象，结合飞参数据判读和该型飞机燃油系统的输油、通气原理，分析故障原因，并探讨了故障解决方案。     

Validation of space-born Moderate Resolution Imaging Spectroradiometer remote sensors aerosol products using application of ground-based Multi-wavelength Radiometer

The measurements of aerosol optical properties were carried out during April 2006 to March 2011 over Mohal (31.9°N, 77.12°E) in the northwestern Indian Himalaya, using the application of ground-based Multi-wavelength Radiometer (MWR) and space-born Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensors. The average (±standard deviation) values of aerosol optical depth (AOD) at 500 nm, Ångström exponent and turbidity coefficient during the entire measurement period were 0.25 ± 0.09, 1.15 ± 0.42 and 0.12 ± 0.06 respectively. About 86% AOD values retrieved from MODIS remote sensor were found within an uncertainty limit (Δτ_pλ = ±0.05 ± 0.15τ_pλ). In general, the MWR derived AOD values were higher than that of MODIS retrieval with absolute difference ∼0.02. During the entire period of measurement space-born MODIS remote sensor and ground-based MWR observation showed good correspondence with significant correlation coefficient ∼0.78 and root mean square difference ∼0.06. For daily observations the relative difference between these two estimates stood less than 9%. However, satellite-based and ground-based observation showed good correspondence, but further efforts still needed to eliminate systematic errors in the existing MODIS algorithm.     

基于多目标的飞行参数规划模型研究

分析了以飞机的飞行高度和速度为参数,以飞行总时间和燃油消耗为目标的飞行参数规划模型,并解算出此规划模型的最优解和目标函数的最优值。仿真分析结果表明目标函数选取不同,会对模型的最优解和最优值产生影响。此模型可为飞行参数规划研究提供参考。     

波音737NG飞机APU起动失败故障分析

从波音B737NG飞机APU的特点和起动过程入手,根据故障历史,归纳出一些常见故障部件,分析故障部件引起APU起动失败的原因,并提出相应的解决方法。     

PA44-180飞机起飞超转／大功率转速低故障分析

介绍7PA44—180飞机螺旋桨和调速器的结构和工作原理，分析了超转和大功率转速低故障的发生原因，并提出了切实可行的预防方法和排除故障的措施。