Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (16): 213-215.DOI: 10.3778/j.issn.1002-8331.2010.16.062

• 工程与应用 • Previous Articles     Next Articles

Faults detection with multi-sensors using danger theory

CHEN Qiang1,LI Xiang-ping2   

  1. 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
  • Received:2009-01-22 Revised:2009-04-13 Online:2010-06-01 Published:2010-06-01
  • Contact: CHEN Qiang

使用危险理论的多传感器故障检测

陈 强1,李湘萍2   

  1. 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
  • 通讯作者: 陈 强

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.

Key words: artificial immunity, multi-sensors faults detection, danger model, detection algorithm

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

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