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Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system
Deng, Changyi1,2,3; Guo, Ruifeng1,3; Liu, Chao2; Zhong, Ray Y.2; Xu, Xun2
Corresponding AuthorXu, Xun(xun.xu@auckland.ac.nz)
2018
Source PublicationINTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
ISSN0020-7543
Volume56Issue:1-2Pages:1000-1015
AbstractCyber-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.
Keyworddata cleansing energy-saving Cyber-Physical Production Systems (CPPS) Cyber-Physical Machine Tools (CPMT) Cyber-Physical Systems
Funding OrganizationNational Science and Technology Major Project of the Ministry of Science and Technology of China ; China Scholarship Council ; University of Auckland Joint Scholarship
DOI10.1080/00207543.2017.1394596
Indexed BySCI
Language英语
Funding ProjectNational 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 Research AreaEngineering ; Operations Research & Management Science
WOS SubjectEngineering, Industrial ; Engineering, Manufacturing ; Operations Research & Management Science
WOS IDWOS:000428859200059
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/127790
Collection中国科学院金属研究所
Corresponding AuthorXu, Xun
Affiliation1.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
Recommended Citation
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.
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