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Open AccessArticle
XGBoost Method-Based Gearbox Fault Diagnosis Using Time-Domain Signal Under Road Vehicle Characteristics
by
Vo-Nguyen Tuyet-Doan
Vo-Nguyen Tuyet-Doan
,
Mooryong Choi
Mooryong Choi
Giseo Park
Giseo Park
1
Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City 72912, Vietnam
2
Department of Intelligent Mobility Engineering, Kongju National University, Cheonan-si 31080, Republic of Korea
3
Institute of Intelligent Vehicle, Kongju National University, 1223-24 Cheonandaero, Seobuk-gu, Cheonan 31080, Republic of Korea
4
School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(23), 4736; https://doi.org/10.3390/electronics14234736 (registering DOI)
Submission received: 18 October 2025
/
Revised: 18 November 2025
/
Accepted: 28 November 2025
/
Published: 1 December 2025
Abstract
Gearbox condition monitoring plays a crucial role in ensuring the reliability and safety of mechanical transmission systems in road vehicles. This study proposes an XGBoost-based fault diagnosis method using time-domain signals collected from four wheels—front-left, front-right, rear-left, and rear-right—under real-world operational conditions. Twelve statistical features extracted from the wheel-speed signals, combined with road vehicle characteristics, are considered as input for the model. The performance of the proposed method is verified through time-domain experiments. The experimental results indicate that the proposed XGBoost approach achieves superior fault classification accuracy compared to traditional tree-based ensemble methods such as Decision Trees and Random Forests, at 82.42%, 75.82%, and 72.53%, respectively. The method offers an effective tool for real-time gearbox fault diagnosis in complex vehicle environments.
Share and Cite
MDPI and ACS Style
Tuyet-Doan, V.-N.; Choi, M.; Park, G.
XGBoost Method-Based Gearbox Fault Diagnosis Using Time-Domain Signal Under Road Vehicle Characteristics. Electronics 2025, 14, 4736.
https://doi.org/10.3390/electronics14234736
AMA Style
Tuyet-Doan V-N, Choi M, Park G.
XGBoost Method-Based Gearbox Fault Diagnosis Using Time-Domain Signal Under Road Vehicle Characteristics. Electronics. 2025; 14(23):4736.
https://doi.org/10.3390/electronics14234736
Chicago/Turabian Style
Tuyet-Doan, Vo-Nguyen, Mooryong Choi, and Giseo Park.
2025. "XGBoost Method-Based Gearbox Fault Diagnosis Using Time-Domain Signal Under Road Vehicle Characteristics" Electronics 14, no. 23: 4736.
https://doi.org/10.3390/electronics14234736
APA Style
Tuyet-Doan, V.-N., Choi, M., & Park, G.
(2025). XGBoost Method-Based Gearbox Fault Diagnosis Using Time-Domain Signal Under Road Vehicle Characteristics. Electronics, 14(23), 4736.
https://doi.org/10.3390/electronics14234736
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