| Deep learning for fault diagnosis: The state of the art and challenge H Ren, JF Qu, Y Chai, Q Tang, X Ye Control and Decision 32 (8), 1345-1358, 2017 | 120 | 2017 |
| 深度学习在故障诊断领域中的研究现状与挑战 任浩， 屈剑锋， 柴毅， 唐秋， 叶欣 控制与决策 32 (8), 1345-1358, 2017 | 54 | 2017 |
| A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system H Ren, Y Chai, J Qu, X Ye, Q Tang Neurocomputing 275, 2111-2125, 2018 | 52 | 2018 |
| A new energy consumption prediction method for chillers based on GraphSAGE by combining empirical knowledge and operating data Z Chen, Q Deng, H Ren, Z Zhao, T Peng, C Yang, W Gui Applied Energy 310, 118410, 2022 | 40 | 2022 |
| Fisher discriminative sparse representation based on DBN for fault diagnosis of complex system Q Tang, Y Chai, J Qu, H Ren Applied Sciences 8 (5), 795, 2018 | 38 | 2018 |
| Prediction of early stabilization time of electrolytic capacitor based on ARIMA-Bi_LSTM hybrid model Z Wang, J Qu, X Fang, H Li, T Zhong, H Ren Neurocomputing 403, 63-79, 2020 | 36 | 2020 |
| An algorithm for sensor fault diagnosis with EEMD-SVM J Ji, J Qu, Y Chai, Y Zhou, Q Tang, H Ren Transactions of the Institute of Measurement and Control 40 (6), 1746-1756, 2018 | 30 | 2018 |
| Research status and challenges of deep learning in the field of fault diagnosis [J] R Hao, Q Jianfeng, C Yi, T Qiu, Y Xin Control and Decision 32 (08), 1345-1358, 2017 | 25 | 2017 |
| An Industrial Multilevel Knowledge Graph-Based Local–Global Monitoring for Plant-Wide Processes WG Hao Ren, Zhiwen Chen, Zhaohui Jiang, Chunhua Yang IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 70, 1-15, 2021 | 22 | 2021 |
| An intelligent fault detection method based on sparse auto-encoder for industrial process systems: A case study on tennessee eastman process chemical system H Ren, Y Chai, J Qu, K Zhang, Q Tang 2018 10th International Conference on Intelligent Human-Machine Systems and …, 2018 | 12 | 2018 |
| Spatial-temporal associations representation and application for process monitoring using graph convolution neural network H Ren, X Liang, C Yang, Z Chen, W Gui Process Safety and Environmental Protection 180, 35-47, 2023 | 11 | 2023 |
| Association hierarchical representation learning for plant-wide process monitoring by using multilevel knowledge graph H Ren, Z Chen, X Liang, C Yang, W Gui IEEE Transactions on Artificial Intelligence 4 (4), 636-649, 2022 | 7 | 2022 |
| Cepstrum coefficient analysis from low-frequency to high-frequency applied to automatic epileptic seizure detection with bio-electrical signals H Ren, J Qu, Y Chai, L Huang, Q Tang Applied Sciences 8 (9), 1528, 2018 | 7 | 2018 |
| Improved sparse representation based on local preserving projection for the fault diagnosis of multivariable system Q Tang, B Li, Y Chai, J Qu, H Ren Science China. Information Sciences 64 (2), 129204, 2021 | 6 | 2021 |
| A fault diagnosis methodology based on non-stationary monitoring signals by extracting features with unknown probability distribution H Lei, W Yiming, Q Jianfeng, R Hao IEEE Access 8, 59821-59836, 2020 | 5 | 2020 |
| 航天发射系统运行安全性评估研究进展与挑战 柴毅， 毛万标， 任浩， 屈剑锋， 尹宏鹏， 杨志敏， 冯莉， 张邦双， 叶欣 自动化学报 45 (10), 1829-1845, 2019 | 5 | 2019 |
| Knowledge-data-based synchronization states analysis for process monitoring and its application to hydrometallurgical zinc purification process H Ren, C Yang, B Sun, X Liang, W Gui IEEE Transactions on Industrial Informatics 20 (1), 546-559, 2023 | 4 | 2023 |
| A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes L Huang, H Ren, Y Chai, J Qu International Journal of Applied Mathematics and Computer Science 31 (1), 29-43, 2021 | 4 | 2021 |
| Process manufacturing intelligence empowered by industrial metaverse: A survey W Luo, K Huang, X Liang, H Ren, N Zhou, C Zhang, C Yang, W Gui IEEE Transactions on Cybernetics, 2024 | 3 | 2024 |
| Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics J Zhang, H Ren, H Ren, Y Chai, Z Liu, X Liang Processes 11 (8), 2454, 2023 | 2 | 2023 |
Chunhua YangCentral South UniversityVerifierad e-postadress på csu.edu.cn