| Flexible, breathable, and reinforced ultra-thin Cu/PLLA porous-fibrous membranes for thermal management and electromagnetic interference shielding J Chang, C Meng, B Shi, W Wei, R Li, J Meng, H Wen, X Wang, J Song, ... Journal of Materials Science & Technology 161, 150-160, 2023 | 18 | 2023 |
| Feature extraction of impulse faults for vibration signals based on sparse non-negative tensor factorization L Liang, H Wen, F Liu, G Li, M Li Applied Sciences 9 (18), 3642, 2019 | 13 | 2019 |
| Impulsive components separation using minimum-determinant KL-divergence NMF of bi-variable map for bearing diagnosis L Liang, X Ding, H Wen, F Liu Mechanical Systems and Signal Processing 175, 109129, 2022 | 11 | 2022 |
| Feature extraction using sparse kernel non-negative matrix factorization for rolling element bearing diagnosis L Liang, X Ding, F Liu, Y Chen, H Wen Sensors 21 (11), 3680, 2021 | 8 | 2021 |
| Early Prediction of Remaining Useful Life for Rolling Bearings Based on Envelope Spectral Indicator and Bayesian Filter H Wen, L Zhang, JK Sinha Applied Sciences 14 (1), 436, 2024 | 7 | 2024 |
| Adaptive Band Extraction Based on Low Rank Approximated Nonnegative Tucker Decomposition for Anti-Friction Bearing Faults Diagnosis Using Measured Vibration Data H Wen, L Zhang, JK Sinha Machines 10 (8), 694, 2022 | 6 | 2022 |
| Impulse response extraction for rolling bearing faults based on semi-NMF H Liu, H Wen, L Liang, J Wang, Z Fan, J Hu 2019 IEEE 4th Advanced Information Technology, Electronic and Automation …, 2019 | 5 | 2019 |
| YOLO-based driving video target detection method [J] H Wen, G Zhang Automobile Science and Technology 1, 73-76+ 72, 2019 | 4 | 2019 |
| Speech enhancement using nonnegative matrix factorization with overlapping group sparsity constraint H Wen, L Liang, F Liu Proceedings of the 4th International Conference on Graphics and Signal …, 2020 | 3 | 2020 |
| Fault Detection of Rotating Machines Using poly-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning K Almutairi, JK Sinha, H Wen Machines 12 (8), 573, 2024 | 2 | 2024 |
| Remaining Useful Life Estimation for Anti-friction Bearing Prognosis Based on Envelope Spectrum and Variational Autoencoder H Wen, L Zhang, JK Sinha, K Almutairi International Congress and Workshop on Industrial AI, 237-249, 2023 | 1 | 2023 |
| Periodic impulse feature separation by combination of bi-frequency map and non-negative matrix factorization L Liang, X Ding, H Wen, L Shan 2021 IEEE 4th Advanced Information Management, Communicates, Electronic and …, 2021 | 1 | 2021 |
| The Separation of Vibration Components Based on Sparse Nonnegative Tensor Factorization H Wen, L Liang, B Niu, L Shan, M Li, G Li Advances in Asset Management and Condition Monitoring: COMADEM 2019, 1297-1306, 2020 | 1 | 2020 |
| From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty H Wen, L Zhang, JK Sinha Sensors 24 (22), 7257, 2024 | | 2024 |
| Degradation Detection and RUL Prediction of Rolling Bearings Based on Gini Index and Particle Filter H Wen, L Zhang, JK Sinha International conference on the Efficiency and Performance Engineering …, 2023 | | 2023 |
| Remaining Useful Life Prediction for Anti-friction Bearings Based on Envelope Spectrum and Extended Kalman Filter H Wen, L Zhang, JK Sinha International Conference on Rotor Dynamics, 390-397, 2023 | | 2023 |
| Rotor and Bearing Fault Classification of Rotating Machinery Using Extracted Features from Experimental Vibration Data and Machine Learning Approach KM Al Mutairi, JK Sinha, H Wen International Congress and Workshop on Industrial AI, 545-555, 2023 | | 2023 |
| Sparse Tensor Decomposition of Multi-Sensory Data for Fault Localization in Rotating Machinery Health Monitoring WEN Haobin, L ZHANG, JK SINHA | | |
