An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network

Author:

Li Shi,Wang Huaqing,Song Liuyang,Wang Pengxin,Cui Lingli,Lin Tianjiao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference39 articles.

1. Step-by-step compound faults diagnosis method for equipment based on Majorization-minimization and constraint SCA;Hao;IEEE/ASME Trans. Mechatron.,2019

2. Automatic patrol and inspection method for machinery diagnosis robot - sound signal based fuzzy search approach;Song;IEEE Sens. J.,2020

3. Research on remaining useful life prediction of rolling element bearings based on time-varying Kalman filter;Cui;IEEE Trans. Instrum. Meas.,2019

4. Machinery health prognostics: a systematic review from data acquisition to RUL prediction;Lei;Mech. Syst. Sig. Process.,2018

5. E. Kevin, E. Ivan, F. Earlence, et al. Robust physical-world attacks on deep learning models. arXiv preprint arXiv:1707.08945v5, 2018.

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