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Fuzzy sensors: the development of inexpensive structurally compatible sensor elements

机译:模糊传感器:廉价结构兼容传感器元件的开发

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Many of the sensor technologies considered for integration into "smart" materials systems have been adopted from a host of other applications. Consider, for example, fiber optics; these materials were originally designed for telecommunication and have since been modified to serve as effective sensor elements. The present research, by contrast, has focused on the development of a new generation of sensor specifically designed to meet a range of critical operational constraints. The sensor consists of conductive particles selectively distributed in a non-conductive matrix. The matrix could be an elastomer or the host matrix used in a polymer composite. Selective distribution of the particles allows for unprecedented amplification of the sensor signal, thus augmenting its ability to detect relatively weak disturbances in the host structure. The signals exhibit both analgo and digital-like response characteristics, and hence they have been called "fuzzy" sensors. The advantages of this approach include a practical sensor element that exhibits very low cost (less than 10 cents per sensor), structural compatibility with the host structure, and high sensitivity. The fuzzy sensors have been successfully implemented in a structural composite component and a real time data retrieval system has been developed.
机译:许多被认为是集成到“智能”材料系统中的传感器技术已从其他应用中采用。考虑,例如光纤;这些材料最初是为电信而设计的,并且已被修改为用作有效的传感器元件。相比之下,本研究专注于开发专门设计用于满足一系列关键操作约束的传感器的开发。传感器由在非导电矩阵中选择性地分布的导电颗粒组成。基质可以是在聚合物复合材料中使用的弹性体或宿主基质。粒子的选择性分布允许对传感器信号的前所未有的放大,从而增加其检测宿主结构中相对较弱的干扰的能力。信号表现出分析和数字式响应特性,因此它们被称为“模糊”传感器。该方法的优点包括实用的传感器元件,其表现出非常低成本(每种传感器的10美分),与宿主结构的结构兼容性和高灵敏度。模糊传感器已经在结构复合组件中成功实现,并且已经开发了实时数据检索系统。

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