Bearing Fault Diagnosis of Single-Channel Data by a 3D DCN with Bilinear LBP and Modified KPCA

Author:

Zhao YunjiORCID,Zhou Menglin,Wang Li,Xu Xiaozhuo,Zhang Nannan

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Universities of Henan

The Key Technologies R&D Program of Henan Province of China

the Key Technologies R&D Program of Henan Province of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Reference35 articles.

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2. Wang Y, Li Q, Chang M, Chen H, Zang G (2012) Research on fault diagnosis expert system based on the neural network and the fault tree technology. Procedia Eng 31:1206–1210

3. Guo Y, Zhou Y, Zhang Z (2020) Fault diagnosis of multi-channel data by the cnn with the multilinear principal component analysis. Meas J Int Meas Conf 171:0263–2241

4. Chen B, Liu G, Mu Z, Xu H, Tian W, She Z, Liu W (2020) Intelligent substation fault diagnosis based on optimization support vector machine. IOP Conf Ser Earth Environ Sci 526(012101):1–9

5. Fan Y, Zhang C, Xue Y, Wang J (2020) A bearing fault diagnosis using a support vector machine optimised by the self-regulating particle swarm. Shock Vib 2020(5):1–11

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