Incipient Fault Diagnosis for High-Speed Train Traction Systems via Stacked Generalization

Full text for this resource is not available from the Research Repository.

Mao, Z ORCID: 0000-0002-3189-5359, Xia, M ORCID: 0000-0001-7757-0464, Jiang, Bin ORCID: 0000-0002-9153-4360, Xu, D and Shi, Peng ORCID: 0000-0001-8218-586X (2022) Incipient Fault Diagnosis for High-Speed Train Traction Systems via Stacked Generalization. IEEE Transactions on Cybernetics, 52 (8). pp. 7624-7633. ISSN 2168-2267

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/44468
DOI 10.1109/TCYB.2020.3034929
Official URL https://ieeexplore.ieee.org/document/9290433
Subjects Current > FOR (2020) Classification > 4007 Control engineering, mechatronics and robotics
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords incipient fault diagnosis; stacking-based method; fault classification; pigeon-inspired optimization; high speed; transportation
Citations in Scopus 13 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login