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• 🔭我就读于湖南大学机械与运载工程学院, 导师是邵海东副教授, 研究方向包括深度学习，知识蒸馏，视觉Transformer的工业智能化运用
• ⚡ 爱好运动，健身，摄影，喜欢旅游，美食。
• 🌱近年来发表的主要论文如下：
  • Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information
  • Gearbox Fault Diagnosis using Novel Dilated CNN and Piecewise Loss Function under Unbalanced Data
  • Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain
  • Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment
  • Intelligent fault diagnosis of aero-engine high-speed bearing using enhanced convolutional neural network
  • End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets
• 💬 如果你对故障诊断，工业智能化运用，视觉Transformer等感兴趣，欢迎通过我的邮件联系我 [email protected], [email protected]

重庆邮电大学
先进制造工程学院
编程语言 & 主修课程: MATLAB, Python, ANSYS, Adams

湖南大学
机械与运载工程学院
编程语言 & 主修课程: Python, Pytorch, Tensorflow, Keras, C++, Deep Learning, Machine Learning
研究方向：不平衡样本下的故障诊断，强噪声下振动信号的特征提取，知识蒸馏算法

联想DIBG \

研究课题：基于知识蒸馏的表格结构体识别算法压缩 \

技术栈：Docker,Git,davocr,Python,Pytorch

复现了主要论文的模型代码，支持不同的训练策略，和相关振动数据集，实时更新视觉Transformer结构在时序信号上的实现

• Fault Diagnosis methods Proposed by HNU IDG (2022-11-02)

• 🔭 I'm a master student at HNU College of Mechanical and Vehicle Engineering under the supervision of Haidong Shao ,and my research interests include Deep learning, knowledge distillation, visonl Transformer for industrial intelligence.
• ⚡ Like sports, fitness, photography, enjoy travel and food
• 🌱 My main papers published in recent years are as follows:
  • Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information
  • Gearbox Fault Diagnosis using Novel Dilated CNN and Piecewise Loss Function under Unbalanced Data
  • Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain
  • Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment
  • Intelligent fault diagnosis of aero-engine high-speed bearing using enhanced convolutional neural network
  • End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets
• 💬 if you are interested in fault diagnosis, object detection, vision Transformer, please contact me via [email protected], [email protected]

ChongQing University of Posts and Telecommunications
College of Advanced Manufacturing Engineering
Languages & majors: MATLAB, Python, ANSYS, Adams

HuNAN University
HNU College of Mechanical and Vehicle Engineering
Languages & majors: Python, Pytorch, Tensorflow, Keras, C++, Deep Learning, Machine Learning
Research: fault diagnosis under unbalanced samples, feature extraction of vibration signals under strong noise, knowledge distillation algorithm

Lenovo DIBG \

Research project: Knowledge distillation-based compression of table structure recognition algorithm\

Technology Stack:Docker,Git,davocr,Python,Pytorch

Replicates the model code of the main paper, supporting different training strategies, and related vibrational datasets, with real-time updates of the visual Transformer structure implemented on the temporal signal

• Fault Diagnosis methods Proposed by HNU IDG (2022-11-02)