Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system

doi:10.1080/00207543.2017.1394596

IMR OpenIR

	Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system
	Deng, Changyi 1,2,3; Guo, Ruifeng 1,3; Liu, Chao 2; Zhong, Ray Y.2; Xu, Xun 2
通讯作者	Xu, Xun(xun.xu@auckland.ac.nz)
	2018
发表期刊	INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
ISSN	0020-7543
卷号	56 期号:1-2 页码:1000-1015
摘要	Cyber-Physical Production Systems (CPPS) often use wireless sensor networks (WSNs) for monitoring purposes. However, data from WSNs may be inaccurate and unreliable due to power exhaustion, noise and other issues. In order to achieve a reliable and accurate data acquisition while ensuring low energy consumption and long lifetime of WSNs, data cleansing algorithms for energy-saving are proposed in this research. The cleansing algorithms are computationally lightweight in local sensors and energy-efficient due to low energy consumption in communications. Dynamic voltage scaling and dynamic power management are adopted for reducing energy consumption, without compromising the performance at system level. A low-power protocol for sink node communication is proposed at network level. A health monitoring system for a Cyber-Physical Machine Tool (a typical example of CPPS) is designed. Experiment results show that the proposed energy-saving data cleansing algorithm yields high-performance and effective monitoring.
关键词	data cleansing energy-saving Cyber-Physical Production Systems (CPPS) Cyber-Physical Machine Tools (CPMT) Cyber-Physical Systems
资助者	National Science and Technology Major Project of the Ministry of Science and Technology of China ; China Scholarship Council ; University of Auckland Joint Scholarship
DOI	10.1080/00207543.2017.1394596
收录类别	SCI
语种	英语
资助项目	National Science and Technology Major Project of the Ministry of Science and Technology of China[2014ZX04014-021] ; China Scholarship Council ; University of Auckland Joint Scholarship
WOS研究方向	Engineering ; Operations Research & Management Science
WOS类目	Engineering, Industrial ; Engineering, Manufacturing ; Operations Research & Management Science
WOS记录号	WOS:000428859200059
出版者	TAYLOR & FRANCIS LTD
引用统计	被引频次：28[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/127790
专题	中国科学院金属研究所
通讯作者	Xu, Xun
作者单位	1.Chinese Acad Sci, Shenyang Inst Comp Technol, Shenyang, Liaoning, Peoples R China 2.Univ Auckland, Dept Mech Engn, Auckland, New Zealand 3.Univ Chinese Acad Sci, Shenyang Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Deng, Changyi,Guo, Ruifeng,Liu, Chao,et al. Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2018,56(1-2):1000-1015.
APA	Deng, Changyi,Guo, Ruifeng,Liu, Chao,Zhong, Ray Y.,&Xu, Xun.(2018).Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,56(1-2),1000-1015.
MLA	Deng, Changyi,et al."Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 56.1-2(2018):1000-1015.