Hongquan Jiang

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Casting defect-detection method based on multi-image feature of fusion artificial intelligence model.
Appl. Intell.
Deyan Yang, Hongquan Jiang, He Yang, Yonghong Wang, Zhen Liu, Xinguang Zhang, Huyue Cheng
2025 J jnl
Multiscale welding defect detection method based on image adaptive enhancement.
Knowl. Based Syst.
Huyue Cheng, Hongquan Jiang, Deqiang Jing, Lei Huang, Jianmin Gao, Yong Zhang, Bo Meng
2024 J jnl
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network.
J. Intell. Manuf.
Hongquan Jiang, Deyan Yang, Zelin Zhi, Qiangzheng Jing, Jianmin Gao, Chenyue Tao, Zhixiang Cheng
2024 J jnl
Casting defect region segmentation method based on dual-channel encoding-fusion decoding network.
Expert Syst. Appl.
Hongquan Jiang, Xinguang Zhang, Chenyue Tao, Song Ai, Yonghong Wang, Jicheng He, He Yang, Deyan Yang
2024 J jnl
Contrastive learning of defect prototypes under natural language supervision.
Adv. Eng. Informatics
Huyue Cheng, Hongquan Jiang, Haobo Yan, Wanjun Zhang
2024 J jnl
Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement.
Eng. Appl. Artif. Intell.
Deyan Yang, Hongquan Jiang, Song Ai, Tianlun Yang, Zelin Zhi, Deqiang Jing, Jianmin Gao, Kun Yue, Huyue Cheng, Yongjun Xu
2023 J jnl
An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images.
J. Intell. Manuf.
Zelin Zhi, Hongquan Jiang, Deyan Yang, Jianmin Gao, Quansheng Wang, Xiaoqiao Wang, Jingren Wang, Yongxiang Wu
2021 J jnl
Weld defect classification in radiographic images using unified deep neural network with multi-level features.
J. Intell. Manuf.
Lu Yang, Hongquan Jiang
2020 J jnl
A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series.
Comput. Appl. Math.
Rongxi Wang, Caiyuan Peng, Jianmin Gao, Zhiyong Gao, Hongquan Jiang
2019 J jnl
A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity.
Comput. Sci. Eng.
Zeming Liang, Jianmin Gao, Hongquan Jiang, Xu Gao, Zhiyong Gao, Rongxi Wang
2019 J jnl
Classification of weld defects based on the analytical hierarchy process and Dempster-Shafer evidence theory.
J. Intell. Manuf.
Hongquan Jiang, Rongxi Wang, Zhiyong Gao, Jianmin Gao, Hongye Wang
2019 — conf
Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring Data.
ICPHM
Hongquan Jiang, Jianmin Gao, Fengshe Xia, Xiaoming Zhang, Tao Zhou, Dongcheng Liu
2018 J jnl
A similarity-based method for remaining useful life prediction based on operational reliability.
Appl. Intell.
Zeming Liang, Jianmin Gao, Hongquan Jiang, Xu Gao, Zhiyong Gao, Rongxi Wang
2017 — conf
A Methodology for Accuracy Assessment of Information Quality in the Processing Production System.
ICIQ
Zhiyong Gao, Jianmin Gao, Rongxi Wang, Yanjie Liang, Hongquan Jiang
2017 J jnl
Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry.
Knowl. Based Syst.
Hongquan Jiang, Rongxi Wang, Jianmin Gao, Zhiyong Gao, Xu Gao
2017 — conf
Information Transfer-Based Root Cause Tracing for Information Quality Problems of Complex Electromechanical Systems in Process Industry.
ICIQ
Rongxi Wang, Jianmin Gao, Zhiyong Gao, Yanjie Liang, Hongquan Jiang
2017 J jnl
Interaction analysis-based information modeling of complex electromechanical systems in the processing industry.
J. Syst. Control. Eng.
Rongxi Wang, Jianmin Gao, Zhiyong Gao, Xu Gao, Hongquan Jiang, Zeming Liang