| Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review J Chen, Z Li, J Pan, G Chen, Y Zi, J Yuan, B Chen, Z He Mechanical systems and signal processing 70, 1-35, 2016 | 530 | 2016 |
| Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions T Zhang, J Chen, F Li, K Zhang, H Lv, S He, E Xu ISA transactions 119, 152-171, 2022 | 448 | 2022 |
| Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process J Chen, H Jing, Y Chang, Q Liu Reliability Engineering & System Safety 185, 372-382, 2019 | 442 | 2019 |
| Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals J Chen, J Pan, Z Li, Y Zi, X Chen Renewable Energy 89, 80-92, 2016 | 393 | 2016 |
| Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive Z Li, J Chen, Y Zi, J Pan Mechanical systems and signal processing 85, 512-529, 2017 | 335 | 2017 |
| LiftingNet: A novel deep learning network with layerwise feature learning from noisy mechanical data for fault classification J Pan, Y Zi, J Chen, Z Zhou, B Wang IEEE Transactions on Industrial Electronics 65 (6), 4973-4982, 2017 | 323 | 2017 |
| Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects Y Feng, J Chen, J Xie, T Zhang, H Lv, T Pan Knowledge-Based Systems 235, 107646, 2022 | 184 | 2022 |
| Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment J Pan, J Chen, Y Zi, Y Li, Z He Mechanical Systems and Signal Processing 72, 160-183, 2016 | 177 | 2016 |
| Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis Y Feng, J Chen, T Zhang, S He, E Xu, Z Zhou ISA transactions 120, 383-401, 2022 | 170 | 2022 |
| Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives T Pan, J Chen, T Zhang, S Liu, S He, H Lv ISA transactions 128, 1-10, 2022 | 156 | 2022 |
| A small sample focused intelligent fault diagnosis scheme of machines via multimodules learning with gradient penalized generative adversarial networks T Zhang, J Chen, F Li, T Pan, S He IEEE Transactions on Industrial Electronics 68 (10), 10130-10141, 2020 | 145 | 2020 |
| Multiwavelet transform and its applications in mechanical fault diagnosis–a review H Sun, Z He, Y Zi, J Yuan, X Wang, J Chen, S He Mechanical Systems and Signal Processing 43 (1-2), 1-24, 2014 | 145 | 2014 |
| Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application H Lv, J Chen, T Pan, T Zhang, Y Feng, S Liu Measurement 199, 111594, 2022 | 143 | 2022 |
| Intelligent fault diagnosis of wind turbines via a deep learning network using parallel convolution layers with multi-scale kernels Y Chang, J Chen, C Qu, T Pan Renewable Energy 153, 205-213, 2020 | 126 | 2020 |
| A compact convolutional neural network augmented with multiscale feature extraction of acquired monitoring data for mechanical intelligent fault diagnosis K Zhang, J Chen, T Zhang, Z Zhou Journal of Manufacturing Systems 55, 273-284, 2020 | 101 | 2020 |
| Subspace network with shared representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples S Liu, J Chen, S He, Z Shi, Z Zhou ISA transactions 128, 531-544, 2022 | 96 | 2022 |
| Deep feature generating network: A new method for intelligent fault detection of mechanical systems under class imbalance T Pan, J Chen, J Xie, Z Zhou, S He IEEE Transactions on Industrial Informatics 17 (9), 6282-6293, 2020 | 93 | 2020 |
| Prior knowledge-augmented self-supervised feature learning for few-shot intelligent fault diagnosis of machines T Zhang, J Chen, S He, Z Zhou IEEE Transactions on Industrial Electronics 69 (10), 10573-10584, 2022 | 91 | 2022 |
| A novel deep learning network via multiscale inner product with locally connected feature extraction for intelligent fault detection T Pan, J Chen, Z Zhou, C Wang, S He IEEE Transactions on Industrial Informatics 15 (9), 5119-5128, 2019 | 90 | 2019 |
| Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavelet J Chen, Y Zi, Z He, J Yuan Mechanical Systems and Signal Processing 38 (1), 36-54, 2013 | 89 | 2013 |
