Wu, Lifeng

Transfer learning with neural networks for bearing fault diagnosis in changing working conditions

Zhang, R., Tao, H., Wu, L., & Guan, Y. (2017) · IEEE Access

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 378

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

Wu, L., Fu, X., & Guan, Y. (2016) · Applied Sciences

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 203

Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions

Liu, D., Li, L., Song, Y., Wu, L., & Peng, Y. (2019) · International Journal of Electrical Power & Energy Systems

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 126

State-of-Health Estimation for Lithium-ion Batteries Based on Wiener Process with Modeling the Relaxation Effect

Xu, X., Yu, C., Tang, S., Sun, X., Si, X., & Wu, L. (2019) · IEEE Access

Battery Modeling and ManagementReliability and Maintenance Optimization

Cited by 64

Rolling element bearing fault diagnosis using improved manifold learning

Yao, B., Zhen, P., Wu, L., & Guan, Y. (2017) · IEEE Access

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 48