Min Xia

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 21

Top Topics

Mahalanobis Distance

Fault Diagnosis

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Internet Things J.

IEEE Trans. Ind. Informatics

Publications

Xiaoqiang Liao, Chengjun Wang, Siqi Qiu, Xianyu Zhang, Zuhua Jiang, Xinguo Ming, Min Xia
A Neural-Symbolic Model for Fan Interpretable Fault Diagnosis on Steel Production Lines. IEEE Internet Things J. 11 (13) (2024)
Feilong Jiang, Xiaonan Hou, Min Xia
Element-wise Multiplication Based Physics-informed Neural Networks. CoRR (2024)
Siqi Gong, Shunming Li, Zongzhen Zhang, Min Xia
Norm for Early Fault Detection. IEEE Trans. Instrum. Meas. 73 (2024)
Xiaoqiang Liao, Xinguo Ming, Min Xia
KBRDBN: An Interpretable Deep Belief Network for the Fault Diagnosis of the Trolley Mechanism in Ship-to-Shore Cranes. IEEE Trans. Instrum. Meas. 73 (2024)
Feilong Jiang, Xiaonan Hou, Min Xia
Densely Multiplied Physics Informed Neural Network. CoRR (2024)
Hanting Zhou, Wenhe Chen, Peirui Qiao, Longsheng Cheng, Min Xia
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference. Knowl. Based Syst. 286 (2024)
Feilong Jiang, Xiaonan Hou, Min Xia
Spatio-temporal Attention-based Hidden Physics-informed Neural Network for Remaining Useful Life Prediction. CoRR (2024)
Qian Wang, Cai Guo, Hong-Ning Dai, Min Xia
Variant-Depth Neural Networks for Deblurring Traffic Images in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24 (6) (2023)
Jun Zhu, Yuanfan Wang, Min Xia, Darren Williams, Clarence W. de Silva
A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions. IEEE Trans. Instrum. Meas. 72 (2023)
Qi Li, Liang Chen, Lin Kong, Dong Wang, Min Xia, Changqing Shen
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions. Reliab. Eng. Syst. Saf. 234 (2023)
Mengchao Ma, Lei Gu, Yinran Shen, Qingtian Guan, Chen Wang, Huaxia Deng, Xiang Zhong, Min Xia, Dongfeng Shi
Computational Framework for Turbid Water Single-Pixel Imaging by Polynomial Regression and Feature Enhancement. IEEE Trans. Instrum. Meas. 72 (2023)
Qingyun Zhu, Jingfeng Lu, Xiaoxian Wang, Hui Wang, Siliang Lu, Clarence W. de Silva, Min Xia
Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System. IEEE Internet Things J. 10 (8, April 15) (2023)
Lv Chen, Kang An, Dali Huang, Xiaoxian Wang, Min Xia, Siliang Lu
Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples. IEEE Trans. Ind. Informatics 19 (9) (2023)
Hanting Zhou, Wen-He Chen, Longsheng Cheng, Jing Liu, Min Xia
Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks. IEEE Trans. Ind. Informatics 19 (11) (2023)
Yusuf Furkan Ugurluoglu, Darren Williams, Min Xia
Enhancing Genetic Algorithm-Based Process Parameter Optimisation Through Grid Search-Optimised Artificial Neural Networks. ICAC (2023)
Wenhe Chen, Hanting Zhou, Longsheng Cheng, Jing Liu, Min Xia
Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance. Eng. Appl. Artif. Intell. 125 (2023)
Han-Ting Zhou, Wenhe Chen, Longsheng Cheng, Darren Williams, Clarence W. de Silva, Min Xia
Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks. IEEE Trans. Instrum. Meas. 72 (2023)
Wenhe Chen, Hanting Zhou, Longsheng Cheng, Min Xia
Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance. IEEE Trans. Instrum. Meas. 72 (2023)
Hanting Zhou, Wenhe Chen, Changqing Shen, Longsheng Cheng, Min Xia
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. Int. J. Prod. Res. 61 (23) (2023)
Kang An, Jingfeng Lu, Quanjing Zhu, Xiaoxian Wang, Clarence W. de Silva, Min Xia, Siliang Lu
Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network. IEEE Trans. Instrum. Meas. 72 (2023)
Siliang Lu, Xiaoxian Wang, Bin Ju, Yongbin Liu, Feng Xie, Min Xia
An Experimental Case Study for the Course of 'Testing Technology and Data Processing'. ICCSE (3) (2022)