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 | 498 | 2016 |
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 | 377 | 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 | 373 | 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 | 320 | 2022 |
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 | 311 | 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 | 286 | 2017 |
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 | 167 | 2016 |
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 | 137 | 2014 |
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 | 129 | 2022 |
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 | 125 | 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 | 112 | 2020 |
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 | 108 | 2020 |
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 | 102 | 2022 |
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 | 91 | 2022 |
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 | 86 | 2020 |
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 | 84 | 2013 |
Multifractal entropy based adaptive multiwavelet construction and its application for mechanical compound-fault diagnosis S He, J Chen, Z Zhou, Y Zi, Y Wang, X Wang Mechanical Systems and Signal Processing 76, 742-758, 2016 | 77 | 2016 |
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 | 76 | 2019 |
Rhombic micro-displacement amplifier for piezoelectric actuator and its linear and hybrid model J Chen, C Zhang, M Xu, Y Zi, X Zhang Mechanical Systems and Signal Processing 50, 580-593, 2015 | 71 | 2015 |
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification Y Feng, J Chen, Z Yang, X Song, Y Chang, S He, E Xu, Z Zhou Knowledge-Based Systems 217, 106829, 2021 | 69 | 2021 |