电力变压器局放超声传感器及其应用

作者研制成一种带光纤的电力变压器局放超声PZT传感器.文中分析了它的灵敏度与宽频带特性,介绍了原理、结构设计、实验数据及现场成功实例.理论与实验研究表明:具有这种高灵敏传感器的超声定位系统是确定电力变压器绝缘故障部位的一种方法.     

DX型数据采集与无线传输系统

DX型数据采集与无线传输系统能对油井压力、温度、载荷和流量等参数进行自动采集 ,并通过无线传输向总站提供实时参数 ,为及时决策提供信息。数据采集系统采用STD总线 ,测量精度高、故障低 ;无线传输系统采用短波电台和具有自动纠错功能的数传机 ,抗噪能力强、可靠性高。文章介绍了DX型数据采集与无线传输系统的组成、工作原理、功能和主要技术指标     

ZXJ10机IN业务功能扩展及实现

本文从智能网的基本概念入手,论述了利用 ZXJ10程控交换系统为发展智能网业务提供支持功能的技术策略以及分阶段实现的过程,并对各个阶段能够实现的业务作了简要介绍。     

Mechanoluminescent pulse pressure sensors. Processing of output optical signal

The process of mechanoluminescence transformation of a pulse pressure sensor is considered. The process consists in excitation of emission under the action of mechanical loading. An algorithm for use in processing the output optical signal of the sensor that makes it possible to determine an input shock pulse is presented. __________ Translated from Izmeritel’naya Tekhnika, No. 10, pp. 28–31, October, 2007.     

光纤氢气敏传感器的实验研究

本文介绍一种运用光纤干涉仪及其准外差检测系统对氢气分压强的检测方法。在光纤Mach-Zehnder干涉仪的传感臂上粘接一段长为3cm、厚为100μm的钯片,形成传感元。实验可检测到5×10~2Pa的氢气分压强。     

基于ARX模型的压电智能结构振动预测控制

采用预测控制法对压电智能结构的振动主动控制进行了实验研究，通过实验方法建立了系统的ARX模型，并在此基础上设计了预测控制器对结构进行振动主动控制。实验结果验证了该方法在压电智能结构振动主动控制中的可行性和有效性。     

二维加速度激光传感器的设计

以角锥棱镜作为惯性元件,利用光学干涉原理,可以实现对运动物体的二维加速度测量。本文给出了二维加速度激光传感器的设计理论和测量原理。     

用于测量空间温度场的分布式光纤传感器的系统设计

文中首先介绍了喇曼散射，并对分布式光纤温度传感器进行了理论分析，最后着重介绍我们研制的一种能够实际使用的喇曼散射分布式光纤温度传感器系统的设计和应用。     

轴快流CO2激光器气体压力控制

激光切割对激光功率模式、功率密度和功率稳定性要求很高,采用轴快流CO2激光器时,控制工作气体压力工作在最佳状态并保持其恒定是激光器输出连续、稳定功率的必要条件和关键技术之一。在深入研究激光器工作原理和影响激光输出功率因素的基础上,采用带积分分离的智能PID控制算法对工作气体压力进行调节。该过程控制算法简单实用,可以有效地提高气体压力控制精度,改善功率控制精度和稳定性,并用实验加以验证。     

Development of a Sensor Fusion Strategy for Robotic Application Based on Geometric Optimization

Fusion of multi-sensor information is an important technology, which is growing exponentially due to its tremendous application potential in many areas. Effective fusion of data from sensors is very critical in increasing an intelligent system's capability to accomplish complex tasks. Appropriate fusion technologies are needed to be developed specially when a system requires redundant sensors to be used. More the redundancy in sensors, more is the computational complexity for controlling the system and more is its intelligence level. This research presents a strategy developed for multiple sensor fusion, based on geometric optimization. Each sensor's uncertainty has been modeled using classical Lagrangian optimization techniques. However, the uniqueness and effectiveness of the present technique lies on the fact that starting from the optimized value as initial estimate the accuracy of the sensory information has further been improved up to any pre defined bounded range, by developing two architectures – FFA (fission–fusion architecture) and FDD (fusion in differential domain). Sufficient evidences and analyses have been provided in the paper to show its effectiveness in various applications.