Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/26987| Title: | Subdomain-Alignment Data Augmentation for Pipeline Fault Diagnosis: An Adversarial Self-Attention Network |
| Authors: | Wang, C Wang, Z Ma, L Dong, H Sheng, W |
| Keywords: | adversarial learning;data augmentation;multi-head self-attention mechanism;pipeline fault diagnosis;subdomain alignment |
| Issue Date: | 12-May-2023 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Wang, C. et al. (2023) 'Subdomain-Alignment Data Augmentation for Pipeline Fault Diagnosis: An Adversarial Self-Attention Network', IEEE Transactions on Industrial Informatics, 2023, 0 (early access), pp. 1 - 11. doi: 10.1109/TII.2023.3275701. |
| Description: | This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI10.1109/TII.2023.3275701, IEEE Transactions on Industrial Informatics. |
| URI: | https://bura.brunel.ac.uk/handle/2438/26987 |
| DOI: | https://doi.org/10.1109/TII.2023.3275701 |
| ISSN: | 1551-3203 |
| Other Identifiers: | ORCID iD: Chuang Wang https://orcid.org/0000-0001-8938-9312; Zidong Wang https://orcid.org/0000-0002-9576-7401; Lifeng Ma https://orcid.org/0000-0002-1839-6803; Hongli Dong https://orcid.org/0000-0001-8531-6757; Weiguo Sheng https://orcid.org/0000-0001-9680-5126. |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2023 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. For more information, see https://www.ieee.org/publications/rights/rights-policies.html | 2.69 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.