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王珊
2025-03-21 13:05     (阅读量:)

姓名

王珊

出生年月

1989年9月

 

性别

学历学位

博士

职称

讲师

导师类型

专硕导师

联系电话

02260214133

所属院系

机器人工程

Email

15900226087@163.com

人才称号

学术兼职

MST等期刊审稿人

招生专业

085510/机器人工程(专硕)

研究方向

(1)机械设备健康运维 (2)机器视觉智能检测与识别

一、科研项目:

1.主持天津市自然科学基金青年项目, 2023-10至2025-09, 6万元

2.主持横向项目一项, 2024-06至2025-05, 5万元

二、代表性论著:

1.Shan Wang,Xueke Fan,et al.Research on steel surface defect detection system based on YOLOv5s-SE-CA model and BEMD image enhancement, NONDESTRUCTIVE TESTING AND EVALUATION.2024

2.Shan Wang, Zijian Qiao, et al.Coupled Hybrid Stochastic Resonance with Multi-objective Optimization for Machinery Dynamic Signature and Fault Diagnosis. IEEESensors Journal.2023

3.Shan Wang, Zijian Qiao, et al. Piecewise hybrid system with cross-correlation spectral kurtosis for fault diagnosis in rolling bearing of wind power generator. Electronics. 2023

4.Shan Wang, Pingjuan Niu, et al. Image Denoising Using Adaptive Bi-dimensional Stochastic Resonance System.Ferroelectrics. 2023

5.Shan Wang, Pingjuan Niu, et al. Maximum cross-correlated kurtosis based unsaturated stochastic resonance and its application to bearing fault diagnosis.ChineseJournalofPhysics.2021

6.Shan Wang, Pingjuan Niu, et al. Early diagnosis of bearing faults based on decomposition and reconstruction stochastic resonance system. Measurement.2020

7.Shan Wang,PingjuanNiu,et al. An adaptive empirical mode decomposition and stochastic resonance system in high efficient detection of Terahertz radar signal. Ferroelectrics.2020

8.Shan Wang, Pingjuan Niu, et al. An adaptive piecewise hybrid stochastic resonance method and it's application on early diagnosis of bearing fault. IEEE Access.2020

9.ShanWang,FuzhongWang,et al. Detection of multi-frequency weak signals with adaptive stochastic resonance system. Chinese Journal of Physics.2018

10.王珊,王辅忠.基于自适应随机共振理论的太赫兹雷达信号检测方法.物理学报.2018

三、软件著作权:

1.王珊,吴睿奇等.风电轴承故障诊断系统, 2025SR0459212, 2025-3-14

2.王珊,邱宇航等.车身漆面检测轻量化系统1.0, 2025SR0107084, 2025-1-16

3.王珊,班宇腾等.车身漆面缺陷智能检测系统, 2024SR0842257, 2024-6-20

四、荣誉奖励

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