Author:
Liu Qiang,Zhang Jiade,Liu Jingna,Yang Zhi
Funder
National Natural Science Foundation of China
the Youth Talent Project of China’s Hebei Provincial Education Department
the Youth Foundation of Hebei science and technology research project
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference38 articles.
1. Sun G, Wang Y, Sun C (2019) Fault diagnosis of planetary gearbox based on signal denoising and convolutional neural network. In: 2019 Prognostics and System Health Management Conference (PHM-Paris), pp 96–99
2. Zhao M, Kang M, Tang B et al (2018) Deep residual networks with dynamically weighted wavelet coefficients for fault diagnosis of planetary gearboxes. IEEE Trans Ind Electr 65:4290–4300
3. Hao Y, Song LY, Cui LL et al (2019) A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis. Measurement 134:480–491
4. Yu F, Li Y, Qi Z (2020) Compound fault diagnosis of gearbox based on wavelet packet transform and sparse representation classification. In: 2020 Chinese Control and Decision Conference (CCDC), pp 5339–5343
5. Jiang H, Li CL, Li HX (2013) An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis. Mech Syst Signal Process 36:225–239
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