某型飞机机翼Ⅱ梁框检修周期的计算

本文建立某型飞机Ⅱ梁框结构裂纹形成寿命NP 与裂纹扩展寿命N P 之间的可靠度模型 ,将安全寿命设计与损伤容限设计原理有机结合 ,计算了在给定结构可靠度下该型飞机机翼Ⅱ梁框的检修周期     

综合环境试验中所遇到的一些具体问题的探讨

指出电子产品的可靠性增长、验证试验应采用与实际使用现场相仿的综合环境条件下进行,并结合工程实际介绍了综合环境试验的应用情况、经验和典型结果,并提出了存在的问题。     

Ⅰ型极值分布的环境因子

本文通过对Ⅰ型极值分布的理论分析和环境因子的二因子法，分别得到了Ⅰ型极大值分布和Ⅰ型极小值分布的环境因子，它们与正态分布的环境因子^[1]具有相同的形式，对Ⅰ型极值分布的环境因子进行了点估计，提出了用环境因子进行数据转换和综合的步骤。     

直接不交化方法在故障树定量分析中的应用

在布尔集合运算方法和不交化方法基础上，提出了单调关联故障树系统定量分析优化方法，通过故障树定量分析优化方法，可以方便地得到系统的可靠度、不可靠度、最小割集、最小路集、关键重要度等指标。     

某型飞机数字防滑刹车控制盒可靠性分析与设计

对某型飞机数字防滑刹车控制盒的可靠性进行了分析,利用工程加权法对控制盒进行了可靠性分配,并通过元器件可靠性预计法对控制盒的可靠性进行预计.对比及验证表明,控制盒可靠性设计合理,满足主机及系统要求.     

Availability modeling for periodically inspection system with different lifetime and repair-time distribution

Availability is a main feature of design and operation of all engineering system. Recently,availability evaluation of periodical inspection systems with different structures is at the center of attention due to the wide application in engineering. In this paper, an analytical and probabilistic availability model for periodical inspection system is proposed by a new recursively algorithm,which can achieve limiting average availability and instantaneous availability of periodical inspection system under arbitrary lifetime and repair-time distributions. Then three application examples are presented, the systems lifetime and repair-time are respectively fellow exponential/exponential,Weibull/normal and Weibull/lognormal distribution. Finally, a Weibull/lognormal system is studied to analyze the dynamic relationship between inspection period and availability. The results indicate that the proposed approach can provide the technology support for improving system availability and determining reasonable inspection period.     

A new structural reliability index based on uncertainty theory

The classical probabilistic reliability theory and fuzzy reliability theory cannot directly measure the uncertainty of structural reliability with uncertain variables,i.e.,subjective random and fuzzy variables.In order to simultaneously satisfy the duality of randomness and subadditivity of fuzziness in the reliability problem,a new quantification method for the reliability of structures is presented based on uncertainty theory,and an uncertainty-theory-based perspective of classical Cornell reliability index is explored.In this paper,by introducing the uncertainty theory,we adopt the uncertain measure to quantify the reliability of structures for the subjective probability or fuzzy variables,instead of probabilistic and possibilistic measures.We utilize uncertain variables to uniformly represent the subjective random and fuzzy parameters,based on which we derive solutions to analyze the uncertainty reliability of structures with uncertainty distributions.Moreover,we propose the Cornell uncertainty reliability index based on the uncertain expected value and variance.Experimental results on three numerical applications demonstrate the validity of the proposed method.     

Percolation transition in temporal airport network

The air transportation system has a critical impact on the global economy. While the system reliability is essential for the operational management of air traffic, it remains challenging to understand the network reliability of the air transportation system. This paper focuses on how the global air traffic is integrated from local scale along with operational time. The integration process of air traffic into a temporally connected network is viewed as percolation process by increasing the integration time constantly. The critical integration time T_P which is found during the integration process can measure the global reliability of air traffic. The critical links at T_P are also identified, the delay of which will influence the global integration of the airport network. These findings may provide insights on the reliability management for the temporal airport network.     

提高机载电子产品的可靠性——某告警系统的故障分析

介绍电子产品设计时元器件选用对系统可靠性的影响。结合实际案例,总结并强调在电子产品设计时的元器件选用应从质量等级入手,充分进行降额设计和热设计。阐明合理选用元器件是实现电子产品系统设计高可靠性水平的基础。     

Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree

Multirotor has been applied to many military and civilian mission scenarios. From the perspective of reliability, it is difficult to ensure that multirotors do not generate hardware and software failures or performance anomalies during the flight process. These failures and anomalies may result in mission interruptions, crashes, and even threats to the lives and property of human beings. Thus, the study of flight reliability problems of multirotors is conductive to the development of the drone industry and has theoretical significance and engineering value. This paper proposes a reliable flight performance assessment method of multirotors based on an Interacting Multiple Model Particle Filter (IMMPF) algorithm and health degree as the performance indicator. First, the multirotor is modeled by the Stochastic Hybrid System (SHS) model, and the problem of reliable flight performance assessment is formulated. In order to solve the problem, the IMMPF algorithm is presented to estimate the real-time probability distribution of hybrid state of the established SHS-based multirotor model, since it can decrease estimation errors compared with the standard interacting multiple model algorithm based on extended Kalman filter. Then, the reliable flight performance is assessed with health degree based on the estimation result. Finally, a case study of a multirotor suffering from sensor anomalies is presented to validate the effectiveness of the proposed method.