Two new multi-phase reliability growth models from the perspective of time between failures and their applications

Aviation products would go through a multi-phase improvement in reliability performance during the research and development process. In the literature, most of the existing reliability growth models assume a constant failure intensity in each test phase, which inevitably limits the scope of the application. To address this problem, we propose two new models considering time-varying failure intensity in each stage. The proposed models borrow the idea from the accelerated failure-time models. It is assumed that time between failures follow the log-location-scale distribution and the scale parameters in each phase do not change, which forms the basis for integrating the data from all test stages. For the test-find-test scenario, an improvement factor is introduced to construct the relationship between two successive location parameters. Whereas for the test-fix-test scenario, the instantaneous cumulative time between failures is assumed to be consistent with Duane model and derive the formulation of location parameter. Likelihood ratio test is further utilized to test whether the assumption of constant failure intensity in each phase is suitable. Several applications with real reliability growth data show that the assumptions are reasonable and the proposed models outperform the existing models.     

Thermal management for thermoset automated fiber placement based on infrared heater structure arrangement

Layup temperature is a vital factor that affects the production quality of automated fiber placement for thermoset composites. For high quality production, this paper proposes a new prediction model of layup temperature by considering the structure of infrared heater of automatic fiber placement equipment. The model was first verified by comparing with the temperature results of layup experiments. Then a prediction on the effects of heater structure arrangement on layup temperature was conducted...     

某高空飞艇光学吊舱热状态及飞行策略研究

使用光学遥感设备开展地球大气层临边观测是研究中高层大气目标特性变化规律的重要手段之一.光学遥感设备的热状态对其光学精度及系统信噪比控制至关重要,能够直接影响观测数据质量乃至观测任务的实现.针对中高层大气OH自由基超分辨空间外差光谱仪在高空飞艇平台探测的热状态需求,分析了光谱仪吊舱的热环境,给出了光学吊舱的热平衡控制方程,并对上升/下降段和平飞段先后开展了热状态计算,得到光学吊舱在不同状态下的温度变化规律、光电部件的温度场等计算结果.结果表明热控方案能够满足光谱仪的热状态需求.根据热状态分析计算结果,制定了飞行前后及飞行过程中光学吊舱的热控策略.本文分析方法和飞行策略可为同类飞行设备热控状态设计及研究提供数据参考.     

变稳直升机设计与应用技术

变稳直升机在直升机研制过程中发挥着至关重要的作用。通过回顾美国、加拿大、德国等航空强国各个阶段典型变稳直升机研制历程,系统性梳理了变稳直升机研制中所涉及的几项关键技术,如变稳能力分析、变稳安全策略、变稳控制方法以及可变人感系统等。在此基础上,参照国外研制经验提出了上述技术的设计原则和相关要求。同时,对变稳直升机在飞行品质标准研究、新技术演示验证及飞行员培训等方面的应用进行了简要分析。     

Target-enclosing affine formation control of two-layer networked spacecraft with collision avoidance

This paper addresses a target-enclosing problem for multiple spacecraft systems by proposing a two-layer affine formation control strategy. Compared with the existing methods, the adopted two-layer network structure in this paper is generally directed, which is suitable for practical space missions. Firstly, distributed finite-time sliding-mode estimators and formation controllers in both layers are designed separately to improve the flexibility of the formation control system. By introducing the properties of affine transformation into formation control protocol design, the controllers can be used to track different time-varying target formation patterns. Besides, multi-layer time-varying encirclements can be achieved with particular shapes to surround the moving target. In the sequel, by integrating adaptive neural networks and specialized artificial potential functions into backstepping controllers, the problems of uncertain Euler-Lagrange models, collision avoidance as well as formation reconfiguration are solved simultaneously. The stability of the proposed controllers is verified by the Lyapunov direct method. Finally, two simulation examples of triangle formation and more complex hexagon formation are presented to illustrate the feasibility of the theoretical results.     

Heuristics of node selection criteria to assess robustness of world airport network

The world airport network (WAN) is one of the networked infrastructures that shape today's economic and social activity,so its resilience against incidents affecting the WAN is an important problem.In this paper,the robustness of air route networks is extended by defining and testing several heuristics to define selection criteria to detect the critical nodes of the WAN.In addition to heuristics based on genetic algorithms and simulated annealing,custom heuristics based on node damage and node betweenness are defined.The most effective heuristic is a multiattack heuristic combining both custom heuristics.Results obtained are of importance not only for advance in the understanding of the structure of complex networks,but also for critical node detection.     

大学生外语自主学习策略培养的文化研究

针对学院2011级196名学生自主学习情况进行了实证调查,发现学生外语学习和自主学习策略各要素的使用情况,在此基础上提出了一些符合中国文化及学生自身特点、适合不同任务的自主学习策略,以期达到提高学生外语学习效果的目的。     

河南省实施创新驱动战略的问题与对策

河南省在人才素质、产业基础、资金投入、知识存量等创新资源方面存在不足，原因在于科研教育资源少、产业结构与创新资金投入体制不合理、知识创新激励机制不完善。提出了立足产业结构优化汇聚创新资源，依托三大载体，优化区域创新体系来实现创新驱动的战略框架，因此需要推进体制创新和基础平台创新、人才管理创新等。     

航空经济发展协同创新体系构建研究

郑州航空港经济综合实验区是一个全新的模式,在建设发展过程中,创新是关键。目前,实验区处于基础建设阶段,航空经济发展政产学研协同创新还面临着创新要素不足、效率不高、人才匮乏等问题,为此,做好航空经济发展协同创新体系顶层设计,还需要进一步推进创新要素集聚、打造协同创新生态、夯实协同创新基础、探索高校协同创新路径。     

日本铁矿石资源战略模式对我国的启示

在解析日本铁矿石资源现状的基础上,进一步梳理了日本铁矿石战略模式,将其总结为两个基础（获得海外权益矿、铁矿石战略储备制度）、四个保障（政府支持、法律保障、海运配套及技术支持）和多方互动;并指出对我国铁矿石战略的五大借鉴意义。