A Review of Sensor Layout for Condition Monitoring during Discrete-part Manufacturing

被引：0

作者：

He, Kang ^{[1
,2
]}

Wang, Nan ^{[1
]}

Zhu, Lin ^{[3
]}

机构：

[1] Suzhou Univ, Mine Machinery & Elect Engn Res Ctr, Suzhou 234000, Peoples R China

[2] Southeast Univ, Sch Mech Engn, Nanjing 211189, Jiangsu, Peoples R China

[3] Monash Univ, Dept Mech & Aerosp Engn, Clayton, Vic 3800, Australia

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2017) | 2017年 / 153卷

基金：

中国国家自然科学基金;

关键词：

sensor deployment; optimization; condition monitoring; discrete-part manufacturing; STATION ASSEMBLY PROCESSES; FAULT-DIAGNOSIS; RELIABILITY CRITERIA; SYSTEMS; OPTIMIZATION; ALLOCATION; COMPONENTS; PLACEMENT; SELECTION; NETWORKS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents in a unified way, the various strategies of optimal sensor placement for condition monitoring during discrete parts manufacturing. The objective of this paper, is to survey the current state of optimal sensor layout with two modules: sensor optimized layout for single target and sensor placement strategy under multi-targets and multi - monitoring requirements. Each approach is outlined. Finally, the recommendations and challenges faced by industry and academia are discussed and several principle conclusions are drawn.

引用

页码：444 / 447

页数：4

共 39 条

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