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Zhuofu Pan
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2020 – today
- 2025
- [j5]Ling Li
, Zhuofu Pan
A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault. Neurocomputing 622: 129288 (2025) - 2024
- [j4]Zhuofu Pan
VAE-Based Interpretable Latent Variable Model for Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6075-6088 (2024) - [i1]Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen:
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network. CoRR abs/2404.18528 (2024) - 2023
- [j3]Yue Cao
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. IEEE Trans Autom. Sci. Eng. 20(1): 167-178 (2023) - [j2]Zhuofu Pan
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. IEEE Trans. Cybern. 53(2): 695-706 (2023) - [c2]Ling Li, Yucheng Ma, Jiaxin Li, Kaixuan Lan, Menglong Wang, Zhuofu Pan:
Fault Diagnosis Based on Multiscale Multivariate Dispersive Entropy and Bayesian-optimized LSTM Networks for Motor Bearing. SAFEPROCESS 2023: 1-6 - [c1]Menglong Wang, Ling Li, Kaixuan Lan, Zhuofu Pan:
Cascaded Structural State Observer Considering Interlayer Closure Error Minimization. CRC 2023: 154-158 - 2021
- [j1]Zhuofu Pan
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. Knowl. Based Syst. 230: 107350 (2021)
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