基于MDARM和VxWorks的小型无人机执行器故障检测方法

由于目前在小型无人机执行器故障诊断中存在着智能化程度较低,容易受到人为因素干扰,从而出现故障漏检等问题,难以满足小型无人机对飞行安全的要求。为此,本文提出一种基于多维数据关联规则挖掘(Multidimensional Data Association Rules Mining: MDARM)和VxWorks操作系统的小型无人机执行器故障诊断方法,通过建立执行器内部传感器测量的温度、压力、流速、力矩等相关变量的历史数据库,并对这些数据进行预处理,以避免带来噪声污染,并利用可测量参数与不可测量参数之间的关联性,建立故障诊断知识库,避免了诊断过程中的人为因素干扰,实现小型无人机执行器故障的精准测量。实验结果证明,这种方法能够有效地提高故障准确率64.7%,对小型无人机执行器的智能诊提供有效指导,应用前景广阔。     

基于遗传算法的自动驾驶仪测试性分析

为了提高自动驾驶仪故障测试与诊断的快速性与准确性,提出了一种基于遗传算法的自动驾驶仪测试性分析方法;此方法解决了遗传算法应用于测试项目选择的难点,构建了最优的故障测试策略,能以最短时间完成测试并满足测试覆盖性的要求;利用故障测试获得的知识,简化故障与测试间的相关性矩阵,加快了故障诊断的速度;最终获得了故障测试与诊断一体化的方法;实验结果表明,此方法有效提高了故障测试与诊断的速度,并且易于实现。     

Closed and open-ended stacking fault tetrahedra formation along the interfaces of Cu–Al nanolayered metals

Stacking fault tetrahedra (SFTs) are volume defects that typically form by the clustering of vacancies in face-centred cubic (FCC) metals. Here, we report a dislocation-based mechanism of SFT formation initiated from the semi-coherent interfaces of Cu–Al nanoscale multilayered metals subjected to out-of-plane tension. Our molecular dynamics simulations show that Shockley partials are first emitted into the Cu interlayers from the dissociated misfit dislocations along the Cu–Al interface and interact to form SFTs above the triangular intrinsic stacking faults along the interface. Under further deformation, Shockley partials are also emitted into the Al interlayers and interact to form SFTs above the triangular FCC planes along the interface. The resulting dislocation structure comprises closed SFTs within the Cu interlayers which are tied across the Cu–Al interfaces to open-ended SFTs within the Al interlayers. This unique plastic deformation mechanism results in considerable strain hardening of the Cu–Al nanolayered metal, which achieves its highest tensile strength at a critical interlayer thickness of ~4 nm corresponding to the highest possible density of complete SFTs within the nanolayer structure.     

基于自主管理机制的网格监测系统故障诊断与恢复

为了使网格监测系统能够自主地处理自身的故障、应对复杂多变的网格环境,基于自主组织、管理机制和自主计算技术中的自修复、自愈等思想,R-Net监测系统(RNMS)对监测系统故障的探测、诊断、处理和恢复进行了研究,并把重点放在节点组的故障恢复上.实现了网格监测系统故障诊断与恢复机制,使得监测系统能够无需管理人员的参与、自主地处理一些常见的故障,降低了系统维护的复杂性和成本,增加了系统的易用性和可靠性.     

一种智能家庭网关及数据转发方法设计

针对当前智能家居环境中家庭网关所存在的安全隐患问题,文中提出一种智能家庭网关的设计方案以及一种基于该网关的数据转发方法,当所在家庭网关故障时,根据家居设备节点可接入网关的信号强度、节点的数据处理能力、优先级等信息来选择汇聚节点.监控中心根据候选网关的安全等级、带宽情况、当前负载等信息来选择转发网关.仿真实验证明,当网关...     

Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions

The vibration signal of gearboxes contains abundant fault information, which can be used for condition monitoring. However, vibration signal is ineffective for some non-structural failures. In order to resolve this dilemma, infrared thermal images are introduced to combine with vibration signals via fusion domain-adaptation convolutional neural network (FDACNN), which can diagnose both structural and non-structural failures under various working conditions. First, the measured raw signals are converted into frequency and squared envelope spectrum to characterize the health states of the gearbox. Second, the sequences of the frequency and squared envelope spectrum are arranged into two-dimensional format, which are combined with infrared thermal images to form fusion data. Finally, the adversarial network is introduced to realize the state recognition of structural and non-structural faults in the unlabeled target domain. An experiment of gearbox test rigs was used for effectiveness validation by measuring both vibration and infrared thermal images. The results suggest that the proposed FDACNN method performs best in cross-domain fault diagnosis of gearboxes via multi-source heterogeneous data compared with the other four methods.     

FAULT-TOLERANT DESIGN OF BATCHER–BANYAN CLASS ATM SWITCHES

Many proposed packet switching systems for high-speed networks have employed the Batcher–banyan fabric due to its modular structure, self-routeing functionality, and distributed conflict-resolving mechanism. In this paper, we present a systematic fault-tolerant design for the Batcher–banyan class of switches. Our first concern is the development of an on-line error detection mechanism which is the prerequisite of any effective fault tolerant operation. Based on the technique developed by Davis, we propose a general fault-testing technique and verify it for a variety of unique-path self-routeing networks. Furthermore, we extend this method to Batcher sorting networks and construct a fault-tolerant Batcher sorter. Lastly, after contemplating the technique constraints and system performance, we deploy the above techniques into different levels of the Batcher–banyan networks and achieve a fault-tolerant version of the StarBurst switch, a member of the Batcher–banyan class of switches.     

基于模型的故障诊断在空间电源系统中的应用研究

空间电源系统工作时间长、运行环境特殊,在执行任务期间不可避免发生故障。为保障任务完成,需建立起空间电源系统在线故障诊断系统,实现在线故障检测、诊断和修复（FDIR）,防止故障传播和灾难性事故发生。在分析空间电源系统电路结构和故障特征基础上,建立起基于模型在线故障诊断系统。通过分析和论证,该诊断系统能够很好的诊断出空间电源系统电路的单点故障、多重故障及单传感器故障,并具有较好的诊断推理速度和较高的准确性。     

实用故障树定量分析原理与应用实例

阐述了实用故障树定量分析原理。并介绍了相应的实例。基于Fortran PowerStation平台．利用Fortran编程计算出结果,得出了具有实用性的结论。对于常见的可靠性问题,具有普遍的指导意义。