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h5 指数:103
h5 中位数:142

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#14 Engineering & Computer Science (general)

标题/作者	引用次数	年份
Deep learning and its applications to machine health monitoring R Zhao, R Yan, Z Chen, K Mao, P Wang, RX Gao Mechanical Systems and Signal Processing 115, 213-237	1471	2019
Artificial intelligence for fault diagnosis of rotating machinery: A review R Liu, B Yang, E Zio, X Chen Mechanical Systems and Signal Processing 108, 33-47	1043	2018
Machinery health prognostics: A systematic review from data acquisition to RUL prediction Y Lei, N Li, L Guo, N Li, T Yan, J Lin Mechanical Systems and Signal Processing 104, 799-834	1037	2018
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load W Zhang, C Li, G Peng, Y Chen, Z Zhang Mechanical Systems and Signal Processing 100, 439-453	682	2018
Applications of machine learning to machine fault diagnosis: A review and roadmap Y Lei, B Yang, X Jiang, F Jia, N Li, AK Nandi Mechanical Systems and Signal Processing 138, 106587	653	2020
A review on the application of deep learning in system health management S Khan, T Yairi Mechanical Systems and Signal Processing 107, 241-265	642	2018
1D convolutional neural networks and applications: A survey S Kiranyaz, O Avci, O Abdeljaber, T Ince, M Gabbouj, DJ Inman Mechanical Systems and Signal Processing 151, 107398	545	2021
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis H Shao, H Jiang, H Zhao, F Wang Mechanical Systems and Signal Processing 95, 187-204	418	2017
A review on data-driven fault severity assessment in rolling bearings M Cerrada, RV Sánchez, C Li, F Pacheco, D Cabrera, JV de Oliveira, ... Mechanical Systems and Signal Processing 99, 169-196	396	2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings B Yang, Y Lei, F Jia, S Xing Mechanical Systems and Signal Processing 122, 692-706	373	2019
Photogrammetry and optical methods in structural dynamics–A review J Baqersad, P Poozesh, C Niezrecki, P Avitabile Mechanical Systems and Signal Processing 86, 17-34	349	2017
Nonlinear system identification in structural dynamics: 10 more years of progress JP Noël, G Kerschen Mechanical Systems and Signal Processing 83, 2-35	340	2017
Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges I Mistry, S Tanwar, S Tyagi, N Kumar Mechanical Systems and Signal Processing 135, 106382	334	2020
Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization F Jia, Y Lei, N Lu, S Xing Mechanical Systems and Signal Processing 110, 349-367	321	2018
Dynamic modeling of gearbox faults: A review X Liang, MJ Zuo, Z Feng Mechanical Systems and Signal Processing 98, 852-876	283	2018
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders H Shao, H Jiang, Y Lin, X Li Mechanical Systems and Signal Processing 102, 278-297	273	2018
Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing H Shao, H Jiang, H Zhang, W Duan, T Liang, S Wu Mechanical Systems and Signal Processing 100, 743-765	264	2018
Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines J Zheng, H Pan, J Cheng Mechanical Systems and Signal Processing 85, 746-759	255	2017
Control strategies for crane systems: A comprehensive review L Ramli, Z Mohamed, AM Abdullahi, HI Jaafar, IM Lazim Mechanical Systems and Signal Processing 95, 1-23	247	2017
Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump M Zhang, Z Jiang, K Feng Mechanical Systems and Signal Processing 93, 460-493	236	2017

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