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| Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network Y Cheng, M Lin, J Wu, H Zhu, X Shao Knowledge-Based Systems 216, 106796, 2021 | 211 | 2021 |
| Machine health monitoring using adaptive kernel spectral clustering and deep long short-term memory recurrent neural networks Y Cheng, H Zhu, J Wu, X Shao IEEE Transactions on Industrial Informatics 15 (2), 987-997, 2018 | 197 | 2018 |
| Degradation data-driven time-to-failure prognostics approach for rolling element bearings in electrical machines J Wu, C Wu, S Cao, SW Or, C Deng, X Shao IEEE Transactions on Industrial Electronics 66 (1), 529-539, 2018 | 193 | 2018 |
| Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system J Wu, Y Su, Y Cheng, X Shao, C Deng, C Liu Applied Soft Computing 68, 13-23, 2018 | 173 | 2018 |
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| Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network P Liang, C Deng, J Wu, Z Yang Measurement 159, 107768, 2020 | 160 | 2020 |
| Compound fault diagnosis of gearboxes via multi-label convolutional neural network and wavelet transform P Liang, C Deng, J Wu, Z Yang, J Zhu, Z Zhang Computers in Industry 113, 103132, 2019 | 156 | 2019 |
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| Remaining useful life prognosis based on ensemble long short-term memory neural network Y Cheng, J Wu, H Zhu, SW Or, X Shao IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 107 | 2020 |
| Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings H Zhu, J Cheng, C Zhang, J Wu, X Shao Applied Soft Computing 88, 106060, 2020 | 102 | 2020 |
| A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings Y Cheng, K Hu, J Wu, H Zhu, X Shao Advanced Engineering Informatics 48, 101247, 2021 | 94 | 2021 |
| Intelligent fault diagnosis via semisupervised generative adversarial nets and wavelet transform P Liang, C Deng, J Wu, G Li, Z Yang, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (7), 4659-4671, 2019 | 88 | 2019 |
| Sensor data-driven bearing fault diagnosis based on deep convolutional neural networks and S-transform G Li, C Deng, J Wu, X Xu, X Shao, Y Wang Sensors 19 (12), 2750, 2019 | 86 | 2019 |
| Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform J Wu, X Xu, C Liu, C Deng, X Shao Composite Structures 276, 114590, 2021 | 77 | 2021 |
| Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery XB Wang, X Zhang, Z Li, J Wu Knowledge-Based Systems 188, 105012, 2020 | 68 | 2020 |
| Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform Z Chen, Y Wang, J Wu, C Deng, K Hu Applied Intelligence 51 (8), 5598-5609, 2021 | 66 | 2021 |
| Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework P Liang, C Deng, J Wu, Z Yang, J Zhu, Z Zhang Knowledge-Based Systems 198, 105895, 2020 | 62 | 2020 |
| Ensemble generalized multiclass support-vector-machine-based health evaluation of complex degradation systems J Wu, P Guo, Y Cheng, H Zhu, XB Wang, X Shao IEEE/ASME Transactions on Mechatronics 25 (5), 2230-2240, 2020 | 58 | 2020 |
