重载齿轮涂层承载能力的仿真分析

为了将物理气相沉积(physical vapor deposition,PVD)涂层应用到高速重载齿轮传动装置中,运用有限元分析了涂层类型、涂层厚度、载荷大小对涂层应力分布的影响.考虑到齿轮轮齿工作面受力复杂,结合齿轮轮齿实际载荷,用非线性弹簧单元来模拟涂层-基体结构的界面结合层,建立了齿轮涂层接触力学计算模型.结合国内外其他学者所做的实验研究,计算结果表明:涂层表面的最大等效应力是涂层表面裂纹产生的主要因素,涂层厚度对等效应力分布有较大影响;涂层/基底界面的最大切应力是导致涂层剥落的主要因素,不同的涂层厚度对切应力点的分布有很明显的影响;载荷等级影响涂层的应力分布和失效形式.     

DSmT的主冷却剂泵并发故障融合方法分析

针对核电站主冷却剂泵故障特征微弱难以有效辨识及DST仅能解决在无高冲突辨识框架下的单一故障诊断等问题,提出一种基于DSmT决策级主冷却剂泵并发故障融合诊断模型．采用核主泵自由DSm模型和混合DSm模型对含有故障信息的多个独立证据源进行动态融合计算;分析核主泵DSmT故障特征信度赋值变化,确定主冷却剂泵故障(并发故障)诊断总决策. 结果表明, 将核仿真机采集TS、SS、VS和DS多源传感器数据直接对基本概率函数进行赋值,得出主冷却剂泵故障(并发故障)决策结果与实际工况相符,实例验证了所提方法的可行性、有效性及准确性．     

基于小波分形理论的风电轴承故障识别

针对风电轴承振动特征信号易被环境噪声调制污染、信噪比低、具有非线性和不平稳的特点,利用基于小波分形的故障识别方法对此进行了研究.采用小波包分解,利用互信息法和Cao算法分别确定了相空间的延迟时间和嵌入维数,根据不同频带的关联维数变化确定风电轴承的工作状态.该方法不依赖于风力机工作的动力学模型,对整体系统信息状态变化敏感.通过现场实验证明,该方法较好地解决了风电轴承故障难以识别的问题,为更加细致地研究风电轴承振动信号提供了重要参考.     

基于机械臂运动的组合航天器惯性参数在轨辨识

随着空间技术发展,交会对接任务越来越多,服务航天器与目标航天器对接形成组合航天器后惯性参数会发生明显变化。因此,提出一种基于机械臂运动的组合航天器惯性参数在轨辨识方法。该方法可以分为2步:第一步辨识组合航天器的质量和质心;第二步辨识组合航天器的惯性张量。该方法优点是实现了质量、质心与惯性张量等辨识参数的相互解耦,不需要消耗航天器上宝贵的喷气燃料,仅需要测量航天器的速度,而不是加速度和力。仿真结果验证了方法的有效性。     

基于遗传BP神经网络的磁流变悬置模型辨识

为克服误差逆向传播算法的多层前馈型BP神经网络收敛速度慢、局部极小化问题,提出用遗传算法(GA)的全局搜索能力寻求最优的BP神经网络权值和阀值,以提高神经网络的收敛速度和克服局部最优。以磁流变液压悬置动态特性试验结果为数据样本,分别用未优化的BP神经网络和优化后的GA-BP神经网络对磁流变液压悬置正、逆模型进行辨识。结果表明,相对于BP神经网络,GA-BP神经网络具有更高的辨识精度、更快的收敛速度,在磁流变液压悬置数学模型辨识方面具备更优的性能。     

基于RFID的监狱智能定位系统的设计与实现

为解决在押犯人管理困难的问题,该文介绍了一种基于射频识别技术的CC1110 RSSI定位系统。系统主要由腕带标签、读卡器、无线中继和服务器组成。标签主要负责对读卡器发送相关信息,读卡器负责接收标签的数据并转发给无线中继,中继通过以太网把读卡器传送过来的数据发送给服务器,服务器负责对数据的处理、分析并进行相关管理操作。该系统结构简单、硬件成本较低、易部署、适应性较强。实际测试表明,该系统能够用于监狱在押人员的定位,降低非视距误差。     

Evaluation method of cracking resistance of lightweight aggregate concrete

The cracking behavior of lightweight aggregate concrete（LWAC） was investigated by mechanical analysis, SEM and cracking-resistant test where a shrinkage-restrained ring with a clapboard was used. The relationship between the ceramsite type and the cracking resistance of LWAC was built up and compared with that of normal-weight coarse aggregate concrete（NWAC）. A new method was proposed to evaluate the cracking resistance of concrete, where the concepts of cracking coefficient ζt（t） and the evaluation index Acr（t） were proposed, and the development of micro-cracks and damage accumulation were recognized. For the concrete with an ascending cracking coefficient curve, the larger Acr（t） is, the lower cracking resistance of concrete is. For the concrete with a descending cracking coefficient curve, the larger Acr（t） is, the stronger the cracking resistance of concrete is. The evaluation results show that in the case of that all the three types of coarse aggregates in concrete are pre-soaked for 24 h, NWAC has the lowest cracking resistance, followed by the LWAC with lower water absorption capacity ceramsite and the LWAC with higher water absorption capacity ceramsite has the strongest cracking resistance. The proposed method has obvious advantages over the cracking age method, because it can evaluate the cracking behavior of concrete even if the concrete has not an observable crack.     

Methodology for estimating probability of dynamical system’s failure for concrete gravity dam简

Methodology for the reliability analysis of hydraulic gravity dam is the key technology in current hydropower construction.Reliability analysis for the dynamical dam safety should be divided into two phases：failure mode identification and the calculation of the failure probability.Both of them are studied based on the mathematical statistics and structure reliability theory considering two kinds of uncertainty characters（earthquake variability and material randomness）.Firstly,failure mode identification method is established based on the dynamical limit state system and verified through example of Koyna Dam so that the statistical law of progressive failure process in dam body are revealed; Secondly,for the calculation of the failure probability,mathematical model and formula are established according to the characteristics of gravity dam,which include three levels,that is element failure,path failure and system failure.A case study is presented to show the practical application of theoretical method and results of these methods.     

Effective model based fault detection scheme for rudder servo system

The inherent nonlinearities of the rudder servo system（RSS） and the unknown external disturbances bring great challenges to the practical application of fault detection technology. Modeling of whole rudder system is a challenging and difficult task. Quite often, models are too inaccurate, especially in transient stages. In model based fault detection, these inaccuracies might cause wrong actions. An effective approach, which combines nonlinear unknown input observer（NUIO） with an adaptive threshold, is proposed. NUIO can estimate the states of RSS asymptotically without any knowledge of external disturbance. An adaptive threshold is used for decision making which helps to reduce the influence of model uncertainty. Actuator and sensor faults that occur in RSS are considered both by simulation and experimental tests. The observer performance, robustness and fault detection capability are verified. Simulation and experimental results show that the proposed fault detection scheme is efficient and can be used for on-line fault detection.     

基于行波法的10kV电缆单环网在线故障定位系统

针对电缆单环网故障定位问题,本文以行波理论为基础,对10kV电缆单环网在线故障定位系统进行研究。通过对电缆单环网结构进行分析,将单环网分为不同级别的T型组合单元,对每个T型电缆单元提出具体测距原理及算法,同时对所有的T型单元依次进行测距并统计分析测距结果,汇总后得到单环网的测距结果,并利用电力系统仿真软件(power system computer aided design,PSCAD)对T型单元故障进行仿真,仿真结果验证了算法和判据的可行性与正确性;最后对电缆单环网在线故障定位系统的硬件和软件进行设计。该系统可以实现对10kV电缆单环网故障的在线监测和定位,与其他测距装置相比,可以快速准确地找到故障点,从而减少停电检修时间,确保供电可靠性,有利于提高经济效益。