反射式表面粗糙度光纤传感器及其模糊算法  

REFLECTION TYPE SURFACE ROUGHNESS FIBER-OPTIC SENSOR AND ITS FUZZY ALGORITHM

作　　者：王毅[1] 陈荣[1] 陈光辉 谢树森[1] 卢宇[1] 

机构地区：[1]福建师范大学激光所

出　　处：《光子学报》2000年第7期669-672,共4页Acta Photonica Sinica

基　　金：福建省教委科研基金

摘　　要：本文提出了一种新型表面粗糙度光纤传感器 ,阐述了它的结构、工作原理 ,给出了测试结果 .运用模糊算法 ,分析实测数据 ,得到系统的测量规则和隶属函数 .经过模糊推理和决策计算出相应的输出值 .该算法可减小测量误差 ,提高测量精度 ,扩大测量范围 .本系统能准确地识别 Ra分别为 0 .0 1 2 μm,0 .0 2 5μm,0 .5μm,0 .1In this paper,we present a new surface roughness fiber optic sensor,introduce its structure and describe the principle.The result of test is also given.Analyzing the experiment data by the fuzzy algorithm,the system′s mesaure rules and subjection functions were found.Reasoning and decision making by fuzzy algorithm,the system calculated out the corresponding value.the algorithm can decline the measuring error,upgrade the measuring accuracy and expand the measuring range.This system can distinguish different surfaces well and truly,whose roughness value respectively is 0.012μm,0.025μm,0.05μm and 0.1μm.

关 键 词：模糊算法 反射 表面粗糙度 光纤传感器 

分 类 号：TG84[金属学及工艺—公差测量技术] TP212[自动化与计算机技术—检测技术与自动化装置]