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291.
介绍了0~25 mm数显千分表的示值误差测量结果的不确定度分析,表明了用TWIN-CHECK1200测长机进行校准的可行性. 相似文献
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介绍了对称式三线摆与不对称式双线摆的工作原理及其微角和大角摆动周期的近似解法 ,同时说明了这两种摆的特点。利用这两种摆测量不规则转子或构件绕轴向和绕径向的惯性矩 ,既方便又准确。若采用长摆线 ,当摆角 φ0 <4 0°时 ,测量准确度优于 1%。 相似文献
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For structural systems with both epistemic and aleatory uncertainties, research on quantifying the contribution of the epistemic and aleatory uncertainties to the failure probability of the systems is conducted. Based on the method of separating epistemic and aleatory uncertainties in a variable, the core idea of the research is firstly to establish a novel deterministic transition model for auxiliary variables, distribution parameters, random variables, failure probability, then to propose the improved importance sampling(IS) to solve the transition model. Furthermore,the distribution parameters and auxiliary variables are sampled simultaneously and independently;therefore, the inefficient sampling procedure with an ‘‘inner-loop' for epistemic uncertainty and an‘‘outer-loop' for aleatory uncertainty in traditional methods is avoided. Since the proposed method combines the fast convergence of the proper estimates and searches failure samples in the interesting regions with high efficiency, the proposed method is more efficient than traditional methods for the variance-based failure probability sensitivity measures in the presence of epistemic and aleatory uncertainties. Two numerical examples and one engineering example are introduced for demonstrating the efficiency and precision of the proposed method for structural systems with both epistemic and aleatory uncertainties. 相似文献
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《中国航空学报》2020,33(6):1673-1682
For structures with both random and fuzzy uncertainty, this paper presents a novel method for determining the membership function in fuzzy reliability with the Automatic Updating Extreme Response Surface (AUERS) method. In the proposed method, fuzzy variables are initially converted into a value domain under the given cut level and the extreme point in the domain where the reliability reaches its extreme value is considered. Second, the Particle Swarm Optimization (PSO) algorithm is used to determine the extreme point according to the extreme responses for different sets of random sample inputs. A kriging response surface is subsequently constructed between the random variables and the corresponding extreme points. An automatic updating strategy is then introduced based on the Relative Mean Square Predicted Error (RMSPE) before performing every iteration of reliability analysis. By adding new sample points, the approximate quality of the kriging response surface is improved. Finally, reliability analysis is used to determine the reliability bound under the given cut level. The proposed method assures the accuracy and computation efficiency of the mixed uncertainty reliability analysis results while it prevents the solution from becoming trapped in a local optimum, which occurs in classical optimization methods. Two example analyses are used to demonstrate the validity and advantages of the proposed method. 相似文献
299.
Baopeng LIAO Bo SUN Yu LI Meichen YAN Yi REN Qiang FENG Dezhen YANG Kun ZHOU 《中国航空学报》2019,32(9):2188-2198
Many variables affect the sealing performance, and their distribution characteristics are difficult to obtain with probabilistic methods owing to the high cost involved. Numerous problems in engineering are similar due to the appearance of small-sample parameters. In this study, the sealing reliability of an aviation seal was defined as the research object, and an interval uncertainty method and multidimensional response surface were proposed to calculate the sealing reliability.Based on this, we first analyzed the failure mechanism of the aviation seal and established a leakage rate model. Then, based on the non-probabilistic interval model, an interval uncertainty method was proposed to construct the analytical model. With reference to the limit state equation from the structural reliability theory, the multidimensional response surface was used for fast calculation.Then, we chose the single-cylinder gas steering gear used in aircraft as the case study, its sealing reliability in working and non-working statuses were calculated, and the results were verified with the actual maintenance records. By analyzing the sensitivity of some variables, we can improve the sealing reliability of the aviation seal by improving the surface roughness only if the cost allows.Finally, we consider that the method proposed in this study realizes the application of smallsample uncertainty analysis in reliability analysis, and could provide a feasible way to solve the similar problems in engineering with multidimensional and small-sample parameters. 相似文献
300.
无人机在复杂高对抗环境中极易出现桨叶结构受损故障,造成无人机控制性能退化甚至失稳,给无人机带来灾难性后果。桨叶结构损伤条件下无人机动力学模型的在线估计与重建是保障无人机控制系统稳定的重要前提。由于桨叶损伤干扰隐含于无人机动力学模型的内部,可观测性较低,典型的干扰观测器难以实现对此类干扰的估计。提出了一种新型穿透型干扰观测器,通过构造穿透函数,将模型内部的干扰映射到一个新建的平行空间,实现了对桨叶损伤的估计和故障后无人机的建模,并给出了所设计穿透型干扰观测器的稳定性条件。以四旋翼无人机为应用对象,对桨叶损伤形成的干扰进行在线估计与量化,反演出桨叶随机出现的损伤,实现了桨叶损伤后无人机动力学模型的在线精细重建,解决了无人机桨叶损伤故障下力矩输入难以直接测量的问题。半物理仿真实验验证了所提方法的有效性。 相似文献