Literature DB >> 34519723

Corrigendum to "Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems". J. Clean. Prod. 306 (2021) 127278.

Jiewu Leng1,2, Man Zhou1, Yuxuan Xiao1, Hu Zhang1, Qiang Liu1, Weiming Shen3, Qianyi Su1, Longzhang Li1.   

Abstract

[This corrects the article DOI: 10.1016/j.jclepro.2021.127278.].
© 2021 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2021        PMID: 34519723      PMCID: PMC8425385          DOI: 10.1016/j.jclepro.2021.128836

Source DB:  PubMed          Journal:  J Clean Prod        ISSN: 0959-6526            Impact factor:   9.297


The authors regret that they cannot acknowledge two funding projects from the sponsor National Key R&D Program of China. Therefore, the authors amend the acknowledgment information of this paper as follows: “This work was supported by the under Grant No. 2018AAA0101704; the under Grant No. 52075107 and U20A6004; and the of China under Grant No. 2019A1515011815 and 2019B090916002.”. The authors would like to apologise for any inconvenience caused.
  2 in total

1.  A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis.

Authors:  Jiajie Jiang; Hui Li; Zhiwei Mao; Fengchun Liu; Jinjie Zhang; Zhinong Jiang; He Li
Journal:  Sci Rep       Date:  2022-01-13       Impact factor: 4.379

2.  Digital twin data-driven proactive job-shop scheduling strategy towards asymmetric manufacturing execution decision.

Authors:  Fuqiang Zhang; Junyan Bai; Dongyu Yang; Qiang Wang
Journal:  Sci Rep       Date:  2022-01-28       Impact factor: 4.379

  2 in total

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