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飞机状态监测无线传感器网络系统 总被引:1,自引:1,他引:0
ZigBee技术与无线传感器网络完美地结合在一起,成为无线传感器网络中无线通信应用的首选技术之一,具有低功耗、低成本、网络容量大、灵活安全和抗干扰能力强等特点.用ZigBee技术研制的飞机状态监测无线传感器网络系统布线少,可减少整个系统的重量和成本,增加系统的灵活性,还可快速的布局和监测数据,实时地传输动态信息,可以使飞机状态监测和故障诊断技术达到一个新水平,有力推动航空技术的发展.基于这一应用要求,将新型传感器和无线传感器网络技术相结合,设计了用于飞机状态监测的无线传感器网络系统方案及其相关节点,实验实现了系统的基本功能,初步验证了此飞机状态监测系统的可行性. 相似文献
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某型航空发动机传感器通道标定系统设计 总被引:2,自引:0,他引:2
航空发动机状态监测系统是发动机地面试车的重要组成部分,由于状态监测系统中需要采集的参数很多,定期手工检测每一条数字通道和模拟通道的完好性和通道特性是一项工作量很大的工程;利用参数估计和假设检验的方法,设计了一套传感器通道标定系统,用以完成检测通道的特性和完好性;测试结果表明,该系统具有测试精度高、可靠性好、易操作等特点;此外也可推广应用于航空发动机之外的其它状态监测系统。 相似文献
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针对铁路传统轨道信号监测传感器功能单一,不能对监测传感器本身电源工作状态进行监测,监测传感器是否正常工作不得而知,导致监测传感器在出现异常状态时不能及时发现,增加监测传感器的风险系数以及维护成本等问题。设计并实现了一种用于轨道信号监测传感器电源工作状态的自诊断装置。该装置是嵌入在传统轨道信号监测传感器电源内部,电路体积小,监测精度高,实时的监测传感器电源工作状态,当监测传感器的工作电源出现过压、欠压、过流等异常状态时及时将报警信息传递到终端设备,并且在传递报警信号后依然触发极限条件时,自诊断电路会切断监测传感器供电电源,使得监测传感器停止工作等待维护。该装置的目的是保障了监测传感器只会在良好状态下运行,也保护因监测传感器故障后影响其他铁路监测设备,出现二次故障,同时也为电务人员进行维护提供了指导作用,因此,也大幅度提高了传统监测传感器的可靠性。目前该装置已经成功运用到稳定性、可靠性要求高的高速铁路、地铁、城市轨道交通等轨道信号监测传感器中,具有很强的实用价值并带来丰厚的经济效益。 相似文献
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为了准确获取航空发动机加力燃烧室火焰燃烧情况进行推力控制,针对航空发动机控制系统中加力火焰检测的作用,分析了基于离子火焰传感器的加力火焰检测工作原理。根据离子火焰传感器在航空发动机中的实际安装情况,分析提出了影响加力火焰检测的因素,包括离子电流的汇流面形状、离子火焰传感器电极与汇流面的相对距离、燃烧温度以及离子火焰传感器电缆的寄生电容。通过搭建燃烧试验平台进行试验,验证了离子火焰传感器在航空发动机实际安装使用中各影响因素对离子火焰传感器采集值影响趋势,试验结果可用于航空发动机加力状态检测相关故障的排查。 相似文献
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针对在航空发动机气路中带电粒子的电荷信号微弱,传感器工作环境恶劣的条件下,监测航空发动机气路故障的问题,设计了一种能适应高温、高噪声等恶劣工作环境并对电荷信号灵敏监测模型,使用LabVIEW软件建立了航空发动机气路不同工况中静电信号的子V1,对信号进行采集和分析.通过对航空发动机多种工况的模拟和试验,建立了航空发动机气路故障分析系统.结果表明:该监测模型分辨率高、信噪比高、稳定性好,可稳定地监测航空发动机的多种工况,为航空发动机气路故障诊断提供可靠的依据. 相似文献
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针对航空发动机滑油系统中金属屑末在线监测难、检测灵敏度低的现状,基于电磁感应原理,理论推导出了金属屑末通过传感器线圈引起的感应线圈输出电压的表达式,仿真分析了金属颗粒通过传感器时的输出电压,并通过相敏检波(Phase Sensitive Detection, PSD)技术对传感器感应线圈采集到的信号进行解调处理,以提高传感器的采集灵敏度。实验验证了在使用频率为80 kHz、幅值为±10 V的正弦激励信号对13 mm管径进行监测时,传感器对铁磁性金属颗粒的检测灵敏度为80μm,对非铁磁性金属颗粒的检测灵敏度为350μm;为感应式金属屑末传感器的设计提供了理论和技术支持,为航空发动机滑油系统中的金属屑末在线监测提供了技术保障。 相似文献
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Guilherme Ferreira Gomes Sebastiao Simões da CunhaJr. Patricia da Silva Lopes Alexandrino Bruno Silva de Sousa Antonio Carlos AncelottiJr. 《Structural and Multidisciplinary Optimization》2018,58(5):2099-2118
The location optimization of sensors is a essential problem in structural health monitoring systems. Taking the cost of sensors into account, it is uneconomical to install sensors on every part of a structure and moreover in aeronautical industry, the weight is a crucial factor. In this paper, a optimal placement optimization of sensor locations for structural health monitoring systems is studied. Several techniques of optimization of sensors are approached and applied in a shell structure. The structure, a laminate of carbon fiber, was modeled by the finite element method (FEM) and then subject to free vibration. Genetic algorithms (GAs) are then employed to locate the best sensor distribution to cover a specific number of low frequency modes. Numerical results have demonstrated the overall efficiency of sensor delivery methods. Specific problems occurred, especially regarding the method of effective independence, being less efficient and discrepant in relation to the other methods employed. In summary, the results obtained in this paper provide an optimal position for sensors in real SHM systems and experiments. 相似文献
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Intelligent health monitoring of aerospace composite structures based on dynamic strain measurements
T.H. Loutas A. Panopoulou D. Roulias V. Kostopoulos 《Expert systems with applications》2012,39(9):8412-8422
This work presents a study on an intelligent system for structural health monitoring of aerospace structures based on dynamic strain measurements, in order to identify in an exhaustive way the structural state condition. Four fiber Bragg grating (FBG) optical sensors were used for collecting strain data, representing the dynamic response of the structure and the expert system that was developed was based on the collected response data. Multi-sensor data fusion in a feature-level approach was followed. Advanced signal processing and pattern recognition techniques such as discrete wavelet transform (DWT) and support vector machines (SVM) were used in the system. For the current analysis, independent component analysis (ICA) was additionally used for the reduction of feature space. The results showed that SVMs using non-linear kernel is a powerful and promising pattern recognition scheme for damage diagnosis.The system was developed and experimentally validated on a flat stiffened composite panel, representing a section of a typical aeronautical structure. Within the frame of the present work the flat stiffened panel was manufactured using carbon fiber pre-pregs. Damage was simulated by slightly varying the mass of the panel in different zones of the structure by adding lumped masses. The analysis of operational dynamic responses was employed to identify both the damage and its position. Numerical simulation with finite element analysis (FEA) was also used as a support tool. 相似文献
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Structural health monitoring (SHM) is the technique to identify the damage in the building or physical structures. Several structural health monitoring has been proposed in recent years. Increase in number of sensors and its wiring mechanism causes issue in signal processing demand, efficiency, and unreliability. In current state, already present sensors cannot be used for Structural Health Monitoring because of its high cost and low battery capacity, although none of these techniques are capable of monitoring the condition of complex physical structures. The measurement of strain can be done by using patch antenna as strain sensors. In currently available sensors only the wireless range. The main objective of this paper is to investigate the feasibility of using circular and rectangular slotted microstrip patch antenna as a strain sensor for structural health monitoring without these afore mentioned problems. These antenna sensors’ (slotted rectangular and circular microstrip patch antennas) simulation results are confirmed. From the simulation results, the sensor provides information about crack orientation. 相似文献
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提出并设计了一种基于光纤智能结构的新型健康监控系统。系统的硬件由光源组、光学系统、光电传感器、监控主机及PC机组成;系统的软件分为监控主机软件和监控计算机软件,监控主机的程序完成光电信号的采集与处理,并负责与PC机通信,进行结构状态分析和创建监控记录。在航空飞行器常用复合材料E51典型试件中,以网状交叉方式埋入特殊传感光纤(间隔为3 cm),构成光纤智能结构,对该结构进行健康监控试验研究,并作数据分析和损伤位置判定。结果表明:该监控系统性能稳定且效果明显,对智能结构多种状态的检测具有实时、有效且可靠的优点,为光纤智能结构的状态监控提供了新方法。 相似文献
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L波段数字航空通信系统(L-DACS)是未来20年乃至更长时间航空通信需求的航空通信系统。为了解决接收机更好地区别有用信号,通过研究固定步长EASI算法和变步长EASI(VS-EASI)算法,提出一种基于优选估计函数的EASI峭度变步长(Q-EASI)算法。该算法根据信号的分离状态与峭度方差的关系,使步长随峭度方差的变化而变化,从而使收敛速度与稳态误差之间的矛盾得以缓解,并在信号分离的不同阶段使用不同的估计函数,使稳态误差得以减小。仿真验证,新算法相对于传统算法在稳定性和收敛速度上都有较大提高。 相似文献