ZHANG, ZIPENG

ZHANG, ZIPENG

Mastermind from the war room, triumph on the distant battlefield.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

A Noise-Robust xLSTM-Based Method for Fault Diagnosis in Gas-Insulated Switchgear Using Acoustic Signals Under Strong Noise Interference

Published in Expert Systems with Applications, 2026

Recommended citation: Dong, H., Zhang, Y., Zhang, B., Zhang, Z., Shao, Y., Yuan, G., & Liu, H. (2025). A Noise-Robust xLSTM-Based Method for Fault Diagnosis in Gas-Insulated Switchgear Using Acoustic Signals Under Strong Noise Interference. Expert Systems with Applications, 130827.
Download Paper | Download Slides | Download Bibtex

A temporal-frequency contrastive learing method for acoustic-based mechanical fault detection in gas-insulated switch-gear

Published in Nondestructive Testing and Evaluation, 2025

Recommended citation: Sheng, Y., Zhang, B., Zhang, Z., Shao, Y., Yuan, G., Liu, J., & Liu, H. (2025). A temporal-frequency contrastive learing method for acoustic-based mechanical fault detection in gas-insulated switch-gear. Nondestructive Testing and Evaluation, 1–23.
Download Paper | Download Slides | Download Bibtex

A novel intelligent indoor fire and combustibles detection method based on multi-channel transfer learning strategy with acoustic signals

Published in Process Safety and Environmental Protection, 2024

Recommended citation: Wang, Z., Zhang, Z., Wang, Z., Lu, J., & An, W. (2024). A novel intelligent indoor fire and combustibles detection method based on multi-channel transfer learning strategy with acoustic signals. Process Safety and Environmental Protection, 189, 1217-1225.
Download Paper | Download Slides | Download Bibtex

CFENet: A contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals

Published in Engineering Applications of Artificial Intelligence, 2024

Recommended citation: Zhang, Z., Liu, H., Shao, Y., Yang, J., Liu, S., & Yuan, G. (2024). CFENet: a contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals. Engineering Applications of Artificial Intelligence, 135, 108835.
Download Paper | Download Slides | Download Bibtex

Gas-insulated switch-gear mechanical fault detection based on acoustic feature analysis using a multi-state pre-trained neural network

Published in Measurement Science and Technology, 2024

Recommended citation: Wang, Z., Zhang, Z., Shao, Y., Qian, K., Liu, H., Hu, B., & Schuller, B. W. (2024). Gas-insulated switch-gear mechanical fault detection based on acoustic feature analysis using a multi-state pre-trained neural network. Measurement Science and Technology, 35(7), 076121.
Download Paper | Download Slides | Download Bibtex

A Nonlinear African Vulture Optimization Algorithm Combining Henon Chaotic Mapping Theory and Reverse Learning Competition Strategy

Published in Expert Systems with Applications, 2024

This paper proposes HWEAVOA, a nonlinear African vulture optimization algorithm integrating Henon chaotic mapping, elite population strategy, nonlinear adaptive inertial weight, and reverse learning competition to address AVOA limitations in complex multimodal problems, demonstrating faster/smoother convergence, superior convergence speed, optimization ability, solution stability, and competitive overall performance in swarm intelligence algorithms.

Recommended citation: Wang, B., Zhang, Z., Siarry, P., Liu, X., Królczyk, G., Hua, D., ... & Li, Z. (2024). A nonlinear African vulture optimization algorithm combining Henon chaotic mapping theory and reverse learning competition strategy. Expert Systems with Applications, 236, 121413.
Download Paper | Download Slides | Download Bibtex