A Comprehensive Survey of Sensor Deployment Strategies to Diagnose Discrete-Part Manufacturing System

DOI

10.2991/meees-18.2018.40How to use a DOI?

Keywords

discrete-part manufacturing, key modules, sensor, technical complexity.

Abstract

This paper presents a broad overview of the various sensor placement strategies to diagnose discrete-part manufacturing system. Due to the technical complexity, the performance of sensor system would be cursed by any modules of sensor placement strategies. Therefore, the current state of the sensor placement strategies is outlined with three key modules, namely cause-effect relationship model, optimization basis, and optimization algorithm, are surveyed in detail. The challenges faced by industry and academia are discussed and several principle conclusions are drawn, which could create a clear platform for the neophyte researchers for sensor deployment to diagnose discrete-part manufacturing system.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Kang He
AU  - Minping Jia
AU  - Zhuanzhe Zhao
AU  - Nan Wang
PY  - 2018/05
DA  - 2018/05
TI  - A Comprehensive Survey of Sensor Deployment Strategies to Diagnose Discrete-Part Manufacturing System
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 220
EP  - 231
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.40
DO  - 10.2991/meees-18.2018.40
ID  - He2018/05
ER  -