{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:45:49Z","timestamp":1766051149054,"version":"3.48.0"},"reference-count":37,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T00:00:00Z","timestamp":1766016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Jiangsu Engineering Research Center of the Key Technology for Intelligent Manufacturing Equipment"},{"name":"Suqian Key Laboratory of Intelligent Manufacturing","award":["M202108"],"award-info":[{"award-number":["M202108"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>To address the limited performance of transfer fault diagnosis for planetary gearboxes under cross-operating conditions, which is caused by the heterogeneous feature distribution of vibration data and insufficient feature extraction. An improved domain-adversarial neural network (IDANN) model based on a joint-adaptive-domain alignment component and a dual-branch feature extractor is proposed. Firstly, a joint domain adaptation alignment approach, integrating maximum mean discrepancy (MMD) and CORrelation ALignment (CORAL), is proposed to realize the correlation structure matching of features between the source and target domains of IDANN. Secondly, a dual-branch feature extractor composed of ResNet18 and Swin Transformer is proposed with an attention-weighted fusion mechanism to enhance feature extraction. Finally, validation experiments conducted on public planetary gearbox fault datasets show that the proposed method attains high accuracy and stable performance in cross-operating-condition transfer fault diagnosis.<\/jats:p>","DOI":"10.3390\/info16121112","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:15:21Z","timestamp":1766049321000},"page":"1112","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Transfer Learning-Based Fault Diagnosis for Planetary Gearboxes Under Cross-Operating Conditions via IDANN"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2999-1429","authenticated-orcid":false,"given":"Xiaolu","family":"Wang","sequence":"first","affiliation":[{"name":"Information Construction Center, Suqian University, Suqian 223800, China"},{"name":"BLUE.x.y Intelligent Technology Co., Ltd., Suqian 223800, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4725-423X","authenticated-orcid":false,"given":"Aiguo","family":"Wang","sequence":"additional","affiliation":[{"name":"Information Construction Center, Suqian University, Suqian 223800, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0304-098X","authenticated-orcid":false,"given":"Haoyu","family":"Sun","sequence":"additional","affiliation":[{"name":"Information Construction Center, Suqian University, Suqian 223800, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2259-7982","authenticated-orcid":false,"given":"Xin","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Suqian University, Suqian 223800, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.jmsy.2024.10.004","article-title":"Deep learning-based fault diagnosis of planetary gearbox: A systematic review","volume":"77","author":"Ahmad","year":"2024","journal-title":"J. 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