Fault Diagnosis Method for Boost Chopper of High-Speed Maglev Train Based on Deep Time-Series Modeling

Shuhuai Wang, Xin Zhang, Wenxin Wang, Yi Tian, Xindong Wang

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DOI: 10.3390/s26144393
Published: 2026-07-10
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26144393,
  title = {Fault Diagnosis Method for Boost Chopper of High-Speed Maglev Train Based on Deep Time-Series Modeling},
  author = {Shuhuai Wang and Xin Zhang and Wenxin Wang and Yi Tian and Xindong Wang},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26144393},
  url = {https://doi.org/10.3390/s26144393}
}

RIS

TY  - JOUR
TI  - Fault Diagnosis Method for Boost Chopper of High-Speed Maglev Train Based on Deep Time-Series Modeling
AU  - Shuhuai Wang
AU  - Xin Zhang
AU  - Wenxin Wang
AU  - Yi Tian
AU  - Xindong Wang
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26144393
UR  - https://doi.org/10.3390/s26144393
ER  -

APA

Wang, S., Zhang, X., Wang, W., Tian, Y., & Wang, X. (2026). Fault Diagnosis Method for Boost Chopper of High-Speed Maglev Train Based on Deep Time-Series Modeling. Sensors. https://doi.org/10.3390/s26144393

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crossref · retrieved 2026-11-10T09:32:52.715Z