Chak-Nam Wong

According to our database, Chak-Nam Wong authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Elevator Condition Monitoring: A Lightweight Receptive Field and Temporal Correlations Enhanced Deep Learning Model to Tackle Imbalanced Dataset.

Ye Wang, Sai-Ho Chung, Yige Sun, Waqar Ahmed Khan, Chak-Nam Wong

IEEE Trans. Engineering Management, 2026

2025

Condition assessment and predictive maintenance for contact probe using health index and encoder-decoder LSTM model.

Shun-Sun Luk, Yanwen Jin, Xiaoge Zhang, Vincent To-Yee Ng, Jingyuan Huang, Chak-Nam Wong

Qual. Reliab. Eng. Int., February, 2025

A novel fault diagnosis method based on deep stable learning for bearings with imbalanced data samples.

Zengbing Xu, Carman Ka Man Lee, Chak-Nam Wong

Expert Syst. Appl., 2025

Uncertainty quantification of aerosol jet 3D printing process using non-intrusive polynomial chaos and stochastic collocation.

Haining Zhang, Jingyuan Huang, Xiaoge Zhang, Chak-Nam Wong

Adv. Eng. Informatics, 2025

2023

Fault Diagnosis for Time Series Signal based on Transfer Learning in Time-Frequency Domain.

Wing-Chong Lo, C. K. M. Lee, Chak-Nam Wong, Jingyuan Huang

Proceedings of the 9th International Symposium on System Security, Safety, and Reliability, 2023