A case study in on-line intelligent sensing.

被引：0

作者：

Moran, AW ^{[1
]}

O'Reilly, P ^{[1
]}

Irwin, GW ^{[1
]}

机构：

[1] Queens Univ Belfast, Sch Elect & Elect Engn, Intelligent Syst & Control Grp, Belfast BT9 5AH, Antrim, North Ireland

来源：

PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2000年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new method is described for on-line detection of parameter changes in a sensor. This is based on work by Yung and Clarke which employs a local ARIMA model of the sensor output to generate an innovation sequence. A statistical test, which quantifies the change to the variance of an innovation sequence, is developed and used to provide a decision process based on a Likelihood Ratio of probabilities. Real-time experimental results for detecting a change in a thermocouple time-constant are presented.

引用

页码：3949 / 3953

页数：5

共 6 条

[1]

HENRY MP, 2000, CONTROL ENG PRACTICE

[2] ONLINE ESTIMATION OF PROBABILITIES FOR DISTRIBUTED BAYESIAN DETECTION [J].