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High sensitivity low cost capacitive strain gage 高灵敏度、低成本电容应变计
J. G. D. Silva, A. A. Carvalho, R. D. O. Rodriges
This paper describes a high sensitivity low cost capacitive strain gage sensor. The theory, design and sensor construction details are presented. It consists of eight capacitive sensors connected in two full bridges. The capacitive strain gage sensor structure was designed in order to produce high sensitivity and low dependence with temperature. By using a simple signal conditioning circuit constituted by a differential amplifier, a band-pass filter, and a precision rectifier the device can measure forces with resolution of 0.009 N and precision of 98.7%. It is rugged, presents linear response, and good repeatability. It presents sensitivity of 8.7 V/N and fall time of 12 ms.
介绍了一种高灵敏度、低成本的电容式应变传感器。详细介绍了传感器的原理、设计和结构。它由八个电容传感器组成,连接在两个完整的桥上。为了实现高灵敏度和低温度依赖性,设计了电容式应变片传感器结构。采用由差分放大器、带通滤波器和精密整流器组成的简单信号调理电路,测量力的分辨率为0.009 N,精度为98.7%。它坚固耐用,呈现线性响应,重复性好。灵敏度为8.7 V/N,下降时间为12 ms。
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引用次数: 4
Identification of experimental models for control design 控制设计实验模型的辨识
P. V. D. Hof
The identification of linear models that are particularly suitable for serving as a basis for (robust) model-based control design has recently attracted considerable attention. Both the system identification community and the control community have spent considerable efforts in developing a coherent approach to the problem. Typical problems that have to be dealt with consider questions of optimal experiment design, feedback-relevant system approximations and control-relevant model uncertainty specifications. Research into these problems has delivered several attempts for bridging the gap between identification and control theory. In this lecture these developments are highlighted, directing particular attention to the identification of control-relevant approximate models, the use of closed-loop experimental data for identification, the quantification of model uncertainty, and the use of identification criteria that are motivated by control performance cost functions.
线性模型的识别特别适合作为(鲁棒)基于模型的控制设计的基础,最近引起了相当大的关注。系统识别社区和控制社区都花费了相当多的努力来开发解决该问题的一致方法。必须处理的典型问题包括最优实验设计、与反馈有关的系统近似和与控制有关的模型不确定性规范等问题。对这些问题的研究为弥合识别理论和控制理论之间的差距提供了一些尝试。在本讲座中,重点介绍了这些发展,特别关注控制相关近似模型的识别,使用闭环实验数据进行识别,模型不确定性的量化,以及使用由控制性能成本函数驱动的识别标准。
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引用次数: 6
High resolution electron microscopy from imaging towards measuring 高分辨率电子显微镜从成像到测量
S. Aert, A. J. D. Dekker, A. Bos, D. Dyck
High resolution electron microscopy is discussed as a measuring, rather than an imaging technique. It is shown that the interpretation of the images could greatly benefit from a quantitative instead of a qualitative approach accompanied by quantitative statistical experimental design.
高分辨率电子显微镜是作为一种测量技术而不是成像技术来讨论的。结果表明,图像的解释可以大大受益于定量而不是定性的方法伴随着定量统计实验设计。
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引用次数: 2
Composite real-time image processing for railways track profile measurement 铁路轨道轮廓测量的复合实时图像处理
C. Alippi, E. Casagrande, F. Scotti, V. Piuri
Checking railway status is critical to guarantee high operating safety, proper maintenance schedule, low maintenance and operating costs. This operation consists of the analysis of the rail profile and level as well as overall geometry and undulation. Traditional detection systems are based on mechanical devices in contact with the track. Innovative approaches are based on laser scanning and image analysis. This paper presents an efficient composite technique for track profile extraction with real-time image processing. High throughput is obtained by algorithmic pre-filtering to restrict the image area containing the track profile, while high accuracy is achieved by neural reconstruction of the profile itself.
检查铁路状态是保证高运行安全性、合理的维护计划、低维护和运营成本的关键。该操作包括分析钢轨轮廓和水平,以及整体几何形状和波动。传统的检测系统是基于与轨道接触的机械装置。创新的方法是基于激光扫描和图像分析。提出了一种基于实时图像处理的轨道轮廓线提取方法。通过算法预滤波来限制包含轨迹轮廓的图像区域,从而获得较高的吞吐量,同时通过对轨迹轮廓本身进行神经重构来获得较高的精度。
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引用次数: 128
期刊
... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference
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