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h5 指数:112
h5 中位数:149

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

#18 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	1953	2019
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	1518	2018
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	1485	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	1257	2020
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	1145	2021
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	929	2018
A review on the application of deep learning in system health management S Khan, T Yairi Mechanical Systems and Signal Processing 107, 241-265	903	2018
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications O Avci, O Abdeljaber, S Kiranyaz, M Hussein, M Gabbouj, DJ Inman Mechanical Systems and Signal Processing 147, 107077	544	2021
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	543	2019
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	519	2018
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	476	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	431	2018
Dynamic modeling of gearbox faults: A review X Liang, MJ Zuo, Z Feng Mechanical Systems and Signal Processing 98, 852-876	380	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	364	2018
A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery X Zhang, Q Miao, H Zhang, L Wang Mechanical Systems and Signal Processing 108, 58-72	343	2018
Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review T Wang, Q Han, F Chu, Z Feng Mechanical Systems and Signal Processing 126, 662-685	342	2019
Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances A Altan, R Hacıoğlu Mechanical Systems and Signal Processing 138, 106548	323	2020
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	322	2018
Fault diagnosis of single-phase induction motor based on acoustic signals A Glowacz Mechanical Systems and Signal Processing 117, 65-80	274	2019
A review of stochastic resonance in rotating machine fault detection S Lu, Q He, J Wang Mechanical Systems and Signal Processing 116, 230-260	268	2019

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