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基于RVM的多功能自确认水质检测传感器
引用本文:赵树延,于金涛,王翥,王祁.基于RVM的多功能自确认水质检测传感器[J].仪器仪表学报,2011,32(8).
作者姓名:赵树延  于金涛  王翥  王祁
作者单位:哈尔滨工业大学电气工程及自动化学院 哈尔滨 150001
基金项目:国家自然科学基金(60871034); 高等学校博士学科点专项科研基金(200802130020)资助项目
摘    要:提出了一种多功能自确认水质检测传感器功能模型,可以同时测量水的温度、盐度和pH值,并可对自身工作状态进行自确认.提出了一种基于相关向量机的多功能自确认传感器故障诊断和数据恢复方法,在二分类机基础上利用层次扩展方法得到基于相关向量机的多分类机,对传感器进行故障诊断;利用水质检测过程中多个参数之间的相关信息,解决了非线性、小样本条件下的传感器故障数据恢复问题.构建了多功能自确认水质检测传感器实验平台,实验结果表明故障诊断识别率达到98%,数据恢复相对误差在士4%以内,提高了传感器的可靠性.

关 键 词:多功能自确认  水质检测  相关向量机  故障诊断  数据恢复

Multi-function self-validating water quality monitoring sensor based on relevance vector machine
Zhao Shuyan,Yu Jintao,Wang Zhu,Wang Qi.Multi-function self-validating water quality monitoring sensor based on relevance vector machine[J].Chinese Journal of Scientific Instrument,2011,32(8).
Authors:Zhao Shuyan  Yu Jintao  Wang Zhu  Wang Qi
Affiliation:Zhao Shuyan,Yu Jintao,Wang Zhu,Wang Qi (School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China)
Abstract:A function model of multi-function self-validating water quality monitoring sensor is proposed,which can measure temperature,salinity and pH value at the same time and resolve the problem of self-validating working state in current water quality monitoring sensor.The fault diagnosis and data recovery methods based on relevance vector machine are studied.The multiple classifiers expanded from binary classifier based on relevance vector machine are obtained to carry out the fault diagnosis of the sensor.The r...
Keywords:multi-function self-validating  water quality monitoring  relevance vector machine  fault diagnosis  data recovery  
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