An Effective Online Failure Prediction in DC-to-DC Converter Using XGBoost Algorithm and LabVIEW
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8451-0_35
Reference25 articles.
1. Khan SS, Wen HA (2021) Comprehensive review of fault diagnosis and tolerant control in DC–DC converters for DC microgrids. IEEE Access 9:80100–80127
2. Elangovan D, Kumar GK (2020) A review on fault-diagnosis and fault-tolerance for DC–DC converters. IET Power Electron 13(1)
3. Su Q, Wang Z, Xu J, Li C, Li J (2022) Fault detection for DC–DC converters using adaptive parameter identification. J Franklin Inst 359(11):5778–5797
4. Aravind Balaji B, Sasikumar S, Rathy GA (2023) Failure identification of power converter circuit using LabVIEW myRIO. SSRG Int J Electr Electron Eng 10(1):106–116
5. Aravind Balaji B, Sasikumar S, Ramesh K (2021) Development of test automation framework for printed circuit board assembly. J Phys: Conf Ser 2070
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