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Biography

I received my master's degree from Tiangong University. My research direction is remaining useful life (RUL) prediction and fault diagnosis based on deep learning. During the study, I independently completed two SCI papers (I am the second author and my supervisor is the first author), and cooperated with others to complete two SCI papers, and applied for a Chinese invention patent.
I am interested in Generative Adversarial Networks and would like to work on the use of GANs for RUL prediction.
In the future, I hope to be able to study for a doctoral degree. If there is a doctoral supervisor who is interested in me, please contact me by email (baoren_zhang@yeah.net).

我在天津工业大学获得硕士学位。我的研究方向为基于深度学习的寿命预测与故障诊断。在校期间,自主完成了两篇SCI论文(本人二作,导师一作),并与他人合作完成SCI论文两篇,申请了一项中国发明专利。
我对生成对抗网络很感兴趣,希望能够从事将GAN用于寿命预测的研究。
在未来,我希望能够攻读博士学位,如果有对我感兴趣的博士生导师,请与我邮件联系(baoren_zhang@yeah.net)。

Activities

Works (2)

Machine remaining life prediction based on multi-layer self-attention and temporal convolution network

Complex & Intelligent Systems
2022-04 | Journal article
Contributors: Zhiwu Shang; Baoren Zhang; Wanxiang Li; Shiqi Qian; Jie Zhang
Source: check_circle
Crossref

A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery

Engineering Applications of Artificial Intelligence
2021-06 | Journal article
Part of ISSN: 0952-1976
Source: Self-asserted source
Baoren Zhang