A Decentralized and Self-Organizing Algorithm for Sensors Fault Diagnosis

WANG Shi-qiang; XING Jian-chun; LI Jue-long; YANG Qi-liang

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A Decentralized and Self-Organizing Algorithm for Sensors Fault Diagnosis

更新时间：2026-09-04

- A Decentralized and Self-Organizing Algorithm for Sensors Fault Diagnosis
- Vol. 33, Issue 5, Pages: 80-84(2016)
- 作者机构：
  
  1. 解放军理工大学国防工程学院,江苏,南京,210007
  2. 海防工程技术研究中心,北京,100841
  3. 计算机软件新技术国家重点实验室机构 (南京大学),江苏,南京,210093
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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王世强, 邢建春, 李决龙, 杨启亮. 一种传感器故障诊断的无中心自组织算法[J]. 微电子学与计算机, 2016, 33(5): 80-84.

WANG Shi-qiang, XING Jian-chun, LI Jue-long, et al. A Decentralized and Self-Organizing Algorithm for Sensors Fault Diagnosis[J]. 2016, 33(5): 80-84.
王世强, 邢建春, 李决龙, 杨启亮. 一种传感器故障诊断的无中心自组织算法[J]. 微电子学与计算机, 2016, 33(5): 80-84. DOI：

WANG Shi-qiang, XING Jian-chun, LI Jue-long, et al. A Decentralized and Self-Organizing Algorithm for Sensors Fault Diagnosis[J]. 2016, 33(5): 80-84. DOI：

摘要

基于无中心智能控制系统

提出了传感器故障诊断的无中心自组织算法.以系统出现故障的传感器数目总是少数为假设条件

通过物理基本原理建立约束方程

利用各相邻节点的等式和不等式约束

通过假设检验

投票统计来对传感器故障进行诊断.与传统的集中式和分布式算法不同

该算法无需构建中心节点

不必增加硬件或时序冗余

因而不局限于时空相似性判定.通过大量仿真实验

验证了该算法对单个或多个传感器故障均能做出正确的判定.

Abstract

Based on the decentralized computing platform

a decentralized and self-organizing algorithm for sensor fault diagnosis is proposed. The basic idea of the method is to detect the equality and inequality constraints of the adjacent variables under the hypothesis that the fault sensors are always less. Unlike traditional centralized and distributed algorithms

the algorithm does not need to build a central node

without increasing hardware or time-series redundancy

and regardless of spatial similarity. This method is very effective o detect the fault of Single or multiple sensors through simulation result.

关键词

Keywords

references

Francisco S, Edwin L, Kurt P, et al. Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations[J]. Information Fusion, 2014, 20(11): 272-291. DOI: 272

Luo X, Dong M, Huang Y. On distributed fault-tolerant detection in wireless sensor networks[J]. IEEE Transactions on Computers, 2006, 55(1): 58-70. DOI: 58

Liu W J, Zhang S K, Fan J X. A diagnosis-based clustering and multipath routing protocol for wireless sensor networks[J]. International Journal of Distributed Sensor Networks, 2012, 9(1): 1-11. DOI: 1

Wang H, Chai T Y, Ding J L, et al. Data driven fault diagnosis and fault tolerant control: Some advances and possible new directions[J]. Acta Automatica Sinica, 2009, 35(6): 739-747. DOI: 739

Bashi A, Jilkov V P, Li X R. Fault detection for systems with multiple unknown modes and similar units and Its application to HVAC[J]. IEEE Transactions on Control Systems Technology, 2011, 19(5): 957-968. DOI: 957

Cohen K, Leshem A. Energy-efficient detection in wireless sensor networks using likelihood ratio and channel state information[J]. IEEE Journal on Selected Areas in Communications, 2011, 29(8): 1671-1683. DOI: 1671

张楠, 陈荣, 郭世凯. 投票理论研究现状及其展望[J]. 计算机科学, 2015, 42(5): 1-9. DOI: 1

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