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使用危险理论的多传感器故障检测
引用本文:陈强,李湘萍.使用危险理论的多传感器故障检测[J].计算机工程与应用,2010,46(16):213-215.
作者姓名:陈强  李湘萍
作者单位:1.江西理工大学 机电学院,江西 赣州 341000 2.江西理工大学 继续教育学院,江西 赣州 341000
基金项目:江西省教育厅科技计划基金资助项目 
摘    要:现有的免疫故障检测理论用于多传感器检测对象时,易产生计算开销过大的问题。引入危险模式理论对其进行建模。将免疫算法与危险模式理论相结合,提出了一种基于危险信号的多测点免疫故障检测算法。通过定义和计算危险信号和危险程度信号提高系统故障识别的准确性。仿真结果表明:使用该文提出的模型和算法不但简化了系统计算过程,而且能有效地提高系统对虚假故障的甄别能力。

关 键 词:人工免疫  多传感器故障检测  危险模式  检测算法  
收稿时间:2009-1-22
修稿时间:2009-4-13  

Faults detection with multi-sensors using danger theory
CHEN Qiang,LI Xiang-ping.Faults detection with multi-sensors using danger theory[J].Computer Engineering and Applications,2010,46(16):213-215.
Authors:CHEN Qiang  LI Xiang-ping
Affiliation:1.School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China 2.Continue Education College,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China
Abstract:Computation spending is greatness using existing immune faults detection theory in multi-sensors system usually.Danger model theory is introduced for modeling of a multi-sensors faults detection system.A novel immune faults detection algorithm based on danger signal is proposed by combining immune algorithm with danger model theory.The veracity of discriminating faults is advanced by defining and computing danger signals and danger criticality signals.Imitating results indicate that not only the process of computation is predigest but also the ability of discriminating falsehood faults is advanced in this system by using model and algorithm proposed in this paper.
Keywords:artificial immunity  multi-sensors faults detection  danger model  detection algorithm
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