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传感器性能实时评估方法
引用本文:刘志成,陈祥光,李兵,徐远清.传感器性能实时评估方法[J].数据采集与处理,2007,22(2):161-165.
作者姓名:刘志成  陈祥光  李兵  徐远清
作者单位:1. 北京理工大学化工与环境学院,北京,100081;太原工业学院电气工程系,太原,030008
2. 北京理工大学化工与环境学院,北京,100081
摘    要:为了实时监视传感器的工作状态,基于传感器的性能指标,确定了以传感器输出数据有效度作为评估基准的评估方法。该方法采用小波实时滤波技术对传感器的输出时间序列进行滤波处理,运用人工神经网络预测传感器输出值,并与实测值进行比较求出残差,由此来确定传感器的有效度指数。实验结果表明,本文提出评估传感器性能的方法是实时有效的,并能够在线检测过程参数的突变情况。

关 键 词:传感器  性能评估  小波滤波  神经网络
文章编号:1004-9037(2007)02-0161-05
收稿时间:2006-07-20
修稿时间:2006-07-202006-11-23

Real Time Evaluation Method for Sensor Performance
Liu Zhicheng,Chen Xiangguang,Li Bing,Xu Yuanqing.Real Time Evaluation Method for Sensor Performance[J].Journal of Data Acquisition & Processing,2007,22(2):161-165.
Authors:Liu Zhicheng  Chen Xiangguang  Li Bing  Xu Yuanqing
Affiliation:1 School of Chemical Engineering and Environment, Beijing Institute of Technology, Beijing, 100081, China; Department of Electrical Engineering, Taiyuan Insititute of Technology, Taiyuan, 030008, China
Abstract:In order to real time monitor the working status of a sensor, the effective index of the sensor output data is taken as an evaluation benchmark based on the performance indexes of the sensor. The time series from sensor output to be processed by the wavelet transform is proposed, and the real time method of the wavelet filter is discussed. The predicting value for the sensor output using artificial neural network is compared with the measuring value in the real field, and then the residual can be worked out. Therefore, the sensor effective index is figured out. Experimental results show that the evaluation method for sensor performance is real-time and effective, and the abrupt changing of process parameters can be online detected.
Keywords:sensor  performance evaluation  wavelet filter  neural network
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