Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26043
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dc.contributor.authorFang, J-
dc.contributor.authorWang, Z-
dc.contributor.authorLiu, W-
dc.contributor.authorLauria, S-
dc.contributor.authorZeng, N-
dc.contributor.authorPrieto, C-
dc.contributor.authorSikstrom, F-
dc.contributor.authorLiu, X-
dc.date.accessioned2023-03-03T15:05:55Z-
dc.date.available2023-03-03T15:05:55Z-
dc.date.issued2022-12-29-
dc.identifierORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401-
dc.identifierORCiD: Weibo Liu https://orcid.org/0000-0002-8169-3261-
dc.identifierORCiD: Stanislao Lauria https://orcid.org/0000-0003-1954-1547-
dc.identifierORCiD: Nianyin Zeng https://orcid.org/0000-0002-6957-2942.-
dc.identifier.citationFang, J. et al. (2022) 'A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing', IEEE Transactions on Automation Science and Engineering, 21 (2), pp. 1244 - 1257. doi: 10.1109/TASE.2022.3230080.en_US
dc.identifier.issn1545-5955-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26043-
dc.description.sponsorshipEuropean Union’s Horizon 2020 Research and Innovation Programme (Grant Number: 820776); INTEGRADDE); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61933007 and 62073271); National Science and Technology Major Project of China (Grant Number: J2019-I-0013-0013); 10.13039/501100012226-Fundamental Research Funds for the Central Universities (Grant Number: 20720220076); Royal Society of the U (Grant Number: 0000DONOTUSETHIS0000.K); Alexander von Humboldt Foundation of Germany.en_US
dc.format.extent1244 - 1257-
dc.format.extentPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2022 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectindustrial data analysisen_US
dc.subjectoutlier detectionen_US
dc.subjectfuzzy C-meansen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectwire arc additive manufacturingen_US
dc.titleA New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TASE.2022.3230080-
dc.relation.isPartOfIEEE Transactions on Automation Science and Engineering-
pubs.issue2-
pubs.publication-statusPublished-
pubs.volume21-
dc.identifier.eissn1558-3783-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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