中文

Lichen Shi

Personal Information
Name (English): Lichen Shi
Name (Pinyin): shilichen
School/Department: 机电工程学院
Education Level: PhD student
Business Address: 草堂校区机电楼
Contact Information: bestslc@xauat.edu.cn
Degree: Doctoral degree
Professional Title: Professor
Status: Employed
Alma Mater: 西安建筑科技大学

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Paper Publications

Current position: Home > Scientific Research > Paper Publications

Qi Liu,,Lichen Shi.A pointer meter reading method based on human-like reading sequence and keypoint detection.[J]:Measurement,2025
YANG Chao,liuxuechao,周星宇,Lichen Shi.Lightweight Low-light Object Detection Algorithm Based on CDD-YOLO.[J]:Computer Engineering and Applications,2024
wanghaitao,刘腾飞,,Lichen Shi.Prediction of turned surface roughness based on GADF of multi-channel signal fusion and MA-ResNet.[J]:Journal of Measurement Science and Instrumentation,2024
wanghaitao,SHI Weichun,LI Jinyang,LIU Yaxiong,Lichen Shi.Tool Wear Prediction Based on DRSN-BiLSTM Model.[J]:JOURNAL OF MECHANICAL ENGINEERING,2024,60(24):66-74
YUAN Jia-geng,JIAN Wang,DONG Liu,Lichen Shi.Simulation Study on the Effect of Hole Defect on TC4 Machining.[J]:Machinery Design & Manufacture,2024(3):181-184+188
Lichen Shi,wanghaitao,,李明俊,刘泽林,代曦阳,王瑞华.Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network:IEEE Sensors Journal,2024,24/4/5399-5413
Lichen Shi,wanghaitao,,郭一凡,刘想,杨杰,张希恒.Fault Diagnosis Method for Imbalanced Data of Rotating Machinery Based on Time Domain Signal Prediction and SC-ResNeSt:IEEE ACCESS,2023,11/38875-38875
Lichen Shi,wanghaitao,,代曦阳,李明俊,刘泽林,王瑞华.Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault Diagnosis of Rotating Machinery:IEEE ACCESS,2024,12/34785-34799
DU Linshen,DOU Weitao,KAI Kang,Lichen Shi.Study on the influence of damage evolution model on the precision of numerical simulation of titanium alloy finishing:Mechanical Science and Technology for Aerospace Engineering,2023
wanghaitao,ZHANG Peng,ZHOU Xingyu,Lichen Shi.Small-sample gear fault diagnosis method based on GASF and MSCAM-DenseNet.[J]:Computer Integrated Manufacturing Systems,2023

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