A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system. - Hao Ren 005; Yi Chai 003; Jianfeng Qu; Xin Ye; Qiu Tang (Neurocomputing, 2018)

An algorithm for sensor fault diagnosis with EEMD-SVM. - Junjie Ji; Jianfeng Qu; Yi Chai 003; Yuming Zhou; Qiu Tang; Hao Ren 005 (Trans. Inst. Meas. Control, 2018)

The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis. - Hao Ren 005; Nan Li; Yi Chai 003; Jianfeng Qu; Qiu Tang; Lei Huang (Sci. China Inf. Sci., 2019)

A Fault Diagnosis Methodology Based on Non-Stationary Monitoring Signals by Extracting Features With Unknown Probability Distribution. - Lei Huang; Yiming Wang 005; Jianfeng Qu; Hao Ren 005 (IEEE Access, 2020)

A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes. - Lei Huang; Hao Ren 005; Yi Chai 003; Jianfeng Qu (Int. J. Appl. Math. Comput. Sci., 2021)

Improved sparse representation based on local preserving projection for the fault diagnosis of multivariable system. - Qiu Tang; Benqi Li; Yi Chai 003; Jianfeng Qu; Hao Ren 005 (Sci. China Inf. Sci., 2021)

An Industrial Multilevel Knowledge Graph-Based Local-Global Monitoring for Plant-Wide Processes. - Hao Ren 005; Zhiwen Chen 001; Zhaohui Jiang 001; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2021)

Spatial-temporal associations representation and application for process monitoring using graph convolution neural network. - Hao Ren 005; Chunhua Yang 001; Xiaojun Liang; Zhiwen Chen 001; Weihua Gui 001 (CoRR, 2022)

An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application. - Cunnian Gao; Hao Ren 005; Wei Cui; Xiaojun Liang; Chunhua Yang 001; Weihua Gui 001; Bei Sun; Keke Huang (ICONIP (11), 2023)

Industry-Oriented Lightweight Simulation System. - Changwei Liu; Hao Ren 005; Nan Zhou 004; Guoqiang Li; Xiaojun Liang; Weihua Gui 001; Chunhua Yang 001 (ICPADS, 2023)

Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph. - Hao Ren 005; Zhiwen Chen 001; Xiaojun Liang; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Artif. Intell., 2023)

Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process. - Hao Ren 005; Chunhua Yang 001; Bei Sun; Xiaojun Liang; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Process Manufacturing Intelligence Empowered by Industrial Metaverse: A Survey. - Weichao Luo; Keke Huang; Xiaojun Liang; Hao Ren 005; Nan Zhou 004; Chaobo Zhang; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2024)

Singular Value Decomposition-based lightweight LSTM for time series forecasting. - Changwei Liu; Hao Ren 005; Guoqiang Li; Haojie Ren; Xiaojun Liang; Chunhua Yang 001; Weihua Gui 001 (Future Gener. Comput. Syst., 2026)