Research on optimal sensor placement in equipment health management

ZHANG Liang; ZHANG Feng-ming

doi:10.13873/j.1000-97872008.07.011

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Research on optimal sensor placement in equipment health management

更新时间：2025-09-11

- Research on optimal sensor placement in equipment health management
- Issue 7, Pages: 18-20(2008)
- 作者机构：
  
  空军工程大学工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.07.011
  CLC： TP212
- Published：2008
- 稿件说明：
移动端阅览
[1]张亮,张凤鸣.装备健康管理中的传感器优化配置问题研究[J].传感器与微系统,2008(07):18-20.

ZHANG Liang, ZHANG Feng-ming. Research on optimal sensor placement in equipment health management[J]. 2008, (7): 18-20.
[1]张亮,张凤鸣.装备健康管理中的传感器优化配置问题研究[J].传感器与微系统,2008(07):18-20. DOI： 10.13873/j.1000-97872008.07.011.

ZHANG Liang, ZHANG Feng-ming. Research on optimal sensor placement in equipment health management[J]. 2008, (7): 18-20. DOI： 10.13873/j.1000-97872008.07.011.

摘要

传感器优化配置是装备健康管理（HM）的基础。考虑传感器失效对健康管理能力的影响

以传感器代价和漏检故障的危害程度最小为优化目标

以检测性能指标为约束条件

建立了传感器优化配置的模型;并针对传感器优化配置是一个多目标非线性整数规划问题

提出了基于扩展微粒子群优化算法的模型求解方法。应用实例表明了模型和算法的有效性。

Abstract

Optimal sensor placement is the basis of equipment health management.Considering the influence of sensors reliability on health management

a model of optimal sensor placement is presented.The objects of optimization are cost of selected sensors and minimal harm of undetectable faults

and the constraints conditions are the detection capacity indexes.Since the optimal placement of sensors is a multi-objective mixed integer non-linear programming model

a solution method based on extended particle swarm optimization is proposed.The application shows the model and the solution are effective.

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references

基于多目标遗传算法的传感器优化布点研究 [J]. 张连振,黄侨,王潮海. 工程力学 . 2007(04)

一种求解非线性规划问题的混合粒子群优化算法 [J]. 董颖,唐加福,许宝栋,汪定伟. 东北大学学报 . 2003(12)

Optimal sensor locations for structural vibration measurements [J] . Z.N. Li,J. Tang,Q.S. Li. Applied Acoustics . 2004 (8)

Cost-optimal design of reliable sensor networks [J] . Miguel Bagajewicz,Mabel Sánchez. Computers and Chemical Engineering . 2000 (11)

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