Research into the Fast Calculation Method of Single-Phase Transformer Magnetic Field Based on CNN-LSTM Article Swipe
Qingjun Peng
,
Xiaoxian Zhu
,
Zhihu Hong
,
Dexu Zou
,
Renjie Guo
,
Desheng Chu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en17163913
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en17163913
Magnetic field is one of the basic data for constructing a transformer digital twin. The finite element transient simulation takes a long time and cannot meet the real-time requirements of a digital twin. According to the nonlinear characteristics of the core and the timing characteristics of the magnetic field, this paper proposes a fast calculation method of the spatial magnetic field of the transformer, considering the nonlinear characteristics of the core. Firstly, based on the geometric and electrical parameters of the single-phase double-winding test transformer, the corresponding finite element simulation model is built. Secondly, the key parameters of the finite element model are parametrically scanned to obtain the nonlinear working condition data set of the test transformer. Finally, a deep learning network integrating a convolutional neural network (CNN) and a long short-term memory network (LSTM) is built to train the mapping relationship between winding voltage, current, and the spatial magnetic field so as to realize the rapid calculation of the transformer magnetic field. The results show that the calculation time of the deep learning model is greatly shortened compared with the finite element model, and the model calculation results are consistent with the experimental measurement results.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en17163913
- OA Status
- gold
- Cited By
- 3
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401418597
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4401418597Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en17163913Digital Object Identifier
- Title
-
Research into the Fast Calculation Method of Single-Phase Transformer Magnetic Field Based on CNN-LSTMWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-08Full publication date if available
- Authors
-
Qingjun Peng, Xiaoxian Zhu, Zhihu Hong, Dexu Zou, Renjie Guo, Desheng ChuList of authors in order
- Landing page
-
https://doi.org/10.3390/en17163913Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/en17163913Direct OA link when available
- Concepts
-
Transformer, Computer science, Magnetic field, Electrical engineering, Electronic engineering, Physics, Engineering, Voltage, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
-
7Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4401418597 |
|---|---|
| doi | https://doi.org/10.3390/en17163913 |
| ids.doi | https://doi.org/10.3390/en17163913 |
| ids.openalex | https://openalex.org/W4401418597 |
| fwci | 1.22495981 |
| type | article |
| title | Research into the Fast Calculation Method of Single-Phase Transformer Magnetic Field Based on CNN-LSTM |
| biblio.issue | 16 |
| biblio.volume | 17 |
| biblio.last_page | 3913 |
| biblio.first_page | 3913 |
| topics[0].id | https://openalex.org/T12169 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9976999759674072 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2210 |
| topics[0].subfield.display_name | Mechanical Engineering |
| topics[0].display_name | Non-Destructive Testing Techniques |
| topics[1].id | https://openalex.org/T11343 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9876000285148621 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2208 |
| topics[1].subfield.display_name | Electrical and Electronic Engineering |
| topics[1].display_name | Power Transformer Diagnostics and Insulation |
| topics[2].id | https://openalex.org/T12737 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9851999878883362 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Electrical Fault Detection and Protection |
| is_xpac | False |
| apc_list.value | 2200 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2382 |
| apc_paid.value | 2200 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2382 |
| concepts[0].id | https://openalex.org/C66322947 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6473550796508789 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11658 |
| concepts[0].display_name | Transformer |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.514910101890564 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C115260700 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4481988847255707 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11408 |
| concepts[2].display_name | Magnetic field |
| concepts[3].id | https://openalex.org/C119599485 |
| concepts[3].level | 1 |
| concepts[3].score | 0.3423108458518982 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[3].display_name | Electrical engineering |
| concepts[4].id | https://openalex.org/C24326235 |
| concepts[4].level | 1 |
| concepts[4].score | 0.32241055369377136 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q126095 |
| concepts[4].display_name | Electronic engineering |
| concepts[5].id | https://openalex.org/C121332964 |
| concepts[5].level | 0 |
| concepts[5].score | 0.23725512623786926 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[5].display_name | Physics |
| concepts[6].id | https://openalex.org/C127413603 |
| concepts[6].level | 0 |
| concepts[6].score | 0.1833074688911438 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[6].display_name | Engineering |
| concepts[7].id | https://openalex.org/C165801399 |
| concepts[7].level | 2 |
| concepts[7].score | 0.1418256163597107 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q25428 |
| concepts[7].display_name | Voltage |
| concepts[8].id | https://openalex.org/C62520636 |
| concepts[8].level | 1 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[8].display_name | Quantum mechanics |
| keywords[0].id | https://openalex.org/keywords/transformer |
| keywords[0].score | 0.6473550796508789 |
| keywords[0].display_name | Transformer |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.514910101890564 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/magnetic-field |
| keywords[2].score | 0.4481988847255707 |
| keywords[2].display_name | Magnetic field |
| keywords[3].id | https://openalex.org/keywords/electrical-engineering |
| keywords[3].score | 0.3423108458518982 |
| keywords[3].display_name | Electrical engineering |
| keywords[4].id | https://openalex.org/keywords/electronic-engineering |
| keywords[4].score | 0.32241055369377136 |
| keywords[4].display_name | Electronic engineering |
| keywords[5].id | https://openalex.org/keywords/physics |
| keywords[5].score | 0.23725512623786926 |
| keywords[5].display_name | Physics |
| keywords[6].id | https://openalex.org/keywords/engineering |
| keywords[6].score | 0.1833074688911438 |
| keywords[6].display_name | Engineering |
| keywords[7].id | https://openalex.org/keywords/voltage |
| keywords[7].score | 0.1418256163597107 |
| keywords[7].display_name | Voltage |
| language | en |
| locations[0].id | doi:10.3390/en17163913 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S198098182 |
| locations[0].source.issn | 1996-1073 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1996-1073 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Energies |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Energies |
| locations[0].landing_page_url | https://doi.org/10.3390/en17163913 |
| locations[1].id | pmh:oai:doaj.org/article:a10f8ed1ac45451e8462bd26caca40ba |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Energies, Vol 17, Iss 16, p 3913 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/a10f8ed1ac45451e8462bd26caca40ba |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5049258548 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-0026-5733 |
| authorships[0].author.display_name | Qingjun Peng |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[0].affiliations[0].raw_affiliation_string | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| authorships[0].institutions[0].id | https://openalex.org/I74872605 |
| authorships[0].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Qingjun Peng |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| authorships[1].author.id | https://openalex.org/A5016250484 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5375-3899 |
| authorships[1].author.display_name | Xiaoxian Zhu |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[1].affiliations[0].raw_affiliation_string | China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[1].institutions[0].id | https://openalex.org/I74872605 |
| authorships[1].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xiaoxian Zhu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[2].author.id | https://openalex.org/A5084131902 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Zhihu Hong |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[2].affiliations[0].raw_affiliation_string | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| authorships[2].institutions[0].id | https://openalex.org/I74872605 |
| authorships[2].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zhihu Hong |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| authorships[3].author.id | https://openalex.org/A5013601615 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Dexu Zou |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I158842170 |
| authorships[3].affiliations[0].raw_affiliation_string | Laboratory of Power Transmission Equipment Technology, Chongqing University, Shapingba District, Chongqing 400044, China |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I74872605 |
| authorships[3].affiliations[1].raw_affiliation_string | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| authorships[3].institutions[0].id | https://openalex.org/I74872605 |
| authorships[3].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[3].institutions[1].id | https://openalex.org/I158842170 |
| authorships[3].institutions[1].ror | https://ror.org/023rhb549 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I158842170 |
| authorships[3].institutions[1].country_code | CN |
| authorships[3].institutions[1].display_name | Chongqing University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Dexu Zou |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China, Laboratory of Power Transmission Equipment Technology, Chongqing University, Shapingba District, Chongqing 400044, China |
| authorships[4].author.id | https://openalex.org/A5107556637 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Renjie Guo |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[4].affiliations[0].raw_affiliation_string | China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[4].institutions[0].id | https://openalex.org/I74872605 |
| authorships[4].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[4].institutions[0].type | company |
| authorships[4].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Renjie Guo |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[5].author.id | https://openalex.org/A5114205134 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Desheng Chu |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[5].affiliations[0].raw_affiliation_string | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| authorships[5].institutions[0].id | https://openalex.org/I74872605 |
| authorships[5].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[5].institutions[0].type | company |
| authorships[5].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Desheng Chu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Electric Power Research Institute of Yunnan Power Grid Corporation, Kunming 650217, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.3390/en17163913 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Research into the Fast Calculation Method of Single-Phase Transformer Magnetic Field Based on CNN-LSTM |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12169 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9976999759674072 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2210 |
| primary_topic.subfield.display_name | Mechanical Engineering |
| primary_topic.display_name | Non-Destructive Testing Techniques |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052, https://openalex.org/W2382290278, https://openalex.org/W2864363823 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3390/en17163913 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S198098182 |
| best_oa_location.source.issn | 1996-1073 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1996-1073 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Energies |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Energies |
| best_oa_location.landing_page_url | https://doi.org/10.3390/en17163913 |
| primary_location.id | doi:10.3390/en17163913 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S198098182 |
| primary_location.source.issn | 1996-1073 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1996-1073 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Energies |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Energies |
| primary_location.landing_page_url | https://doi.org/10.3390/en17163913 |
| publication_date | 2024-08-08 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4285145088, https://openalex.org/W3076565486, https://openalex.org/W3092450082, https://openalex.org/W1964394500, https://openalex.org/W2945939056, https://openalex.org/W2921710869, https://openalex.org/W4282827825 |
| referenced_works_count | 7 |
| abstract_inverted_index.a | 10, 20, 30, 52, 118, 123, 129 |
| abstract_inverted_index.as | 152 |
| abstract_inverted_index.is | 2, 91, 135, 175 |
| abstract_inverted_index.of | 4, 29, 38, 45, 56, 61, 68, 79, 97, 113, 158, 170 |
| abstract_inverted_index.on | 73 |
| abstract_inverted_index.so | 151 |
| abstract_inverted_index.to | 34, 105, 137, 153 |
| abstract_inverted_index.The | 14, 163 |
| abstract_inverted_index.and | 23, 41, 76, 128, 146, 184 |
| abstract_inverted_index.are | 102, 189 |
| abstract_inverted_index.for | 8 |
| abstract_inverted_index.key | 95 |
| abstract_inverted_index.one | 3 |
| abstract_inverted_index.set | 112 |
| abstract_inverted_index.the | 5, 26, 35, 39, 42, 46, 57, 62, 65, 69, 74, 80, 85, 94, 98, 107, 114, 139, 147, 155, 159, 167, 171, 180, 185, 192 |
| abstract_inverted_index.core | 40 |
| abstract_inverted_index.data | 7, 111 |
| abstract_inverted_index.deep | 119, 172 |
| abstract_inverted_index.fast | 53 |
| abstract_inverted_index.long | 21, 130 |
| abstract_inverted_index.meet | 25 |
| abstract_inverted_index.show | 165 |
| abstract_inverted_index.test | 83, 115 |
| abstract_inverted_index.that | 166 |
| abstract_inverted_index.this | 49 |
| abstract_inverted_index.time | 22, 169 |
| abstract_inverted_index.with | 179, 191 |
| abstract_inverted_index.(CNN) | 127 |
| abstract_inverted_index.based | 72 |
| abstract_inverted_index.basic | 6 |
| abstract_inverted_index.built | 136 |
| abstract_inverted_index.core. | 70 |
| abstract_inverted_index.field | 1, 60, 150 |
| abstract_inverted_index.model | 90, 101, 174, 186 |
| abstract_inverted_index.paper | 50 |
| abstract_inverted_index.rapid | 156 |
| abstract_inverted_index.takes | 19 |
| abstract_inverted_index.train | 138 |
| abstract_inverted_index.twin. | 13, 32 |
| abstract_inverted_index.(LSTM) | 134 |
| abstract_inverted_index.built. | 92 |
| abstract_inverted_index.cannot | 24 |
| abstract_inverted_index.field, | 48 |
| abstract_inverted_index.field. | 162 |
| abstract_inverted_index.finite | 15, 87, 99, 181 |
| abstract_inverted_index.memory | 132 |
| abstract_inverted_index.method | 55 |
| abstract_inverted_index.model, | 183 |
| abstract_inverted_index.neural | 125 |
| abstract_inverted_index.obtain | 106 |
| abstract_inverted_index.timing | 43 |
| abstract_inverted_index.between | 142 |
| abstract_inverted_index.digital | 12, 31 |
| abstract_inverted_index.element | 16, 88, 100, 182 |
| abstract_inverted_index.greatly | 176 |
| abstract_inverted_index.mapping | 140 |
| abstract_inverted_index.network | 121, 126, 133 |
| abstract_inverted_index.realize | 154 |
| abstract_inverted_index.results | 164, 188 |
| abstract_inverted_index.scanned | 104 |
| abstract_inverted_index.spatial | 58, 148 |
| abstract_inverted_index.winding | 143 |
| abstract_inverted_index.working | 109 |
| abstract_inverted_index.Finally, | 117 |
| abstract_inverted_index.Firstly, | 71 |
| abstract_inverted_index.Magnetic | 0 |
| abstract_inverted_index.compared | 178 |
| abstract_inverted_index.current, | 145 |
| abstract_inverted_index.learning | 120, 173 |
| abstract_inverted_index.magnetic | 47, 59, 149, 161 |
| abstract_inverted_index.proposes | 51 |
| abstract_inverted_index.results. | 195 |
| abstract_inverted_index.voltage, | 144 |
| abstract_inverted_index.According | 33 |
| abstract_inverted_index.Secondly, | 93 |
| abstract_inverted_index.condition | 110 |
| abstract_inverted_index.geometric | 75 |
| abstract_inverted_index.nonlinear | 36, 66, 108 |
| abstract_inverted_index.real-time | 27 |
| abstract_inverted_index.shortened | 177 |
| abstract_inverted_index.transient | 17 |
| abstract_inverted_index.consistent | 190 |
| abstract_inverted_index.electrical | 77 |
| abstract_inverted_index.parameters | 78, 96 |
| abstract_inverted_index.short-term | 131 |
| abstract_inverted_index.simulation | 18, 89 |
| abstract_inverted_index.calculation | 54, 157, 168, 187 |
| abstract_inverted_index.considering | 64 |
| abstract_inverted_index.integrating | 122 |
| abstract_inverted_index.measurement | 194 |
| abstract_inverted_index.transformer | 11, 160 |
| abstract_inverted_index.constructing | 9 |
| abstract_inverted_index.experimental | 193 |
| abstract_inverted_index.relationship | 141 |
| abstract_inverted_index.requirements | 28 |
| abstract_inverted_index.single-phase | 81 |
| abstract_inverted_index.transformer, | 63, 84 |
| abstract_inverted_index.transformer. | 116 |
| abstract_inverted_index.convolutional | 124 |
| abstract_inverted_index.corresponding | 86 |
| abstract_inverted_index.double-winding | 82 |
| abstract_inverted_index.parametrically | 103 |
| abstract_inverted_index.characteristics | 37, 44, 67 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5049258548 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I74872605 |
| citation_normalized_percentile.value | 0.70967069 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |