智少丹
博士 、讲师
基本信息
| 办公电话： | 电子邮件： sdzhi@bjtu.edu.cn |
| 通讯地址：北京市海淀区西直门外上园村3号 | 邮编： |
教育背景
2010. 09 - 2015. 10， 北京交通大学， 机械制造及其自动化专业， 博士学位
2012. 09 - 2013. 09， University of Delaware, Department of Civil Construction & Environment Engineering, US, 联合培养
2008. 09 - 2010. 07， 北京交通大学， 机械设计及理论专业， 硕士学位
2004. 09 - 2008. 07， 西南交通大学， 机械设计制造及其自动化专业， 学士学位
工作经历
研究方向
- 智能检测与先进控制
- 智能感知与控制
招生专业
- 机械工程硕士
科研项目
国家某重点领域专项项目: XXXX单元测试, 2020-2021自然科学类人才基金项目: 基于自适应时频匹配表征的故障诊断辨识研究, 2021-2024
国家某重点领域专项项目: 并行测试技术研究（学校实验室基金项目）, 2021-2023
基础研究项目: 城轨列车机电一体化智能运行控制技术研究, 2022-2024
国家某重点领域专项项目: 控制系统部分软件开发外场调试及运维技术开发, 2022-2022
国家重点研发计划-任务: 可重复用密封舱结构多源检测数据可视化表征与损伤检测验证研究, 2022-2025
国家某重点领域专项项目: 某验证评估环境系统软件测试, 2023-2024
自然科学横向项目: 基于振动和声阵列监测技术的轨道交通转向架轴承及故障诊断系统研究, 2023-2024
国家某重点领域专项项目: XX前端软件开发, 2023-2025
国家某重点领域专项项目: XX系统设计开发及服务, 2022-2025
国家某重点领域专项项目: XXXX有线测控软件开发及服务保障合同, 2023-2025
国家某重点领域专项项目: XXX测试技术开发, 2023-2025
国家某重点领域专项项目: XXX研制及配置项测试技术开发, 2023-2024
国家某重点领域专项项目: XXXX研制技术, 2023-2025
国家某重点领域专项项目: XXXX软件开发, 2023-2025
国家某重点领域专项项目: PLC通用配置测试软件平台开发, 2023-2025
国家重点研发计划-课题: XXX采集与处理技术, 2023-2026
国家某重点领域专项项目: XXX测试系统研制, 2024-2026
国家某重点领域专项项目: XXX仿真系统, 2024-2027
自然科学横向项目: 2024年电力施工工具数字化监控技术研究及应用, 2024-2027
自然科学横向项目: 华能清能院失效数据获取与仿真测试服务, 2024-2025
国家某重点领域专项项目: XXXX开发及验证, 2024-2026
国家某重点领域专项项目: XXXX测试与故障诊断研究, 2024-2026
国家某重点领域专项项目: 高速******软件重构、仿真及产品研制, 2024-2025
国家某重点领域专项项目: ****产品研制, 2024-2024
教学工作
本科教学：
- 无损检测技术
- 智能测控系统设计与实现II——需求分析
研究生教学：
- 机械类专业英语【研】
-
测控系统建模与仿真 【研】
论文/期刊
[1] Shaodan Zhi, Haikuo Shen, Tianyang Wang. Gearbox localized fault detection based on meshing frequency modulation analysis[J]. Applied Acoustics, 2024, 219: 109943.
[2] Shaodan Zhi, Kaiyu Su, et. al. An unsupervised transfer learning bearing fault diagnosis method based on multi-channel calibrated Transformer with shiftable window[J]. Structural Health Monitoring-An International Journal, 2025.
[3] Shaodan Zhi, Hengshan Wu, Haikuo Shen, Weidong Cheng, Yancai Xiao,Tianyang Wang. Weak time-varying fault indicator detection of the complex gearbox via the meshing order modulation-aided scaling reassigning chirplet transform[J]. Applied Acoustics,2025 232: 110580.
[4] Shaodan Zhi, Haikuo Shen. A self-supervised learning method for fault detection of wind turbines[J]. Measurement Science and Technology, 2024, 35(11):116118.
[5] Shaodan Zhi, Hengshan Wu, et.al. Entropy-Aided Meshing-Order Modulation Analysis for Wind Turbine Planetary Gear Weak Fault Detection under Variable Rotational Speed[J].Entropy, 2024, 26(5): 409.
[6] Hengshan Wu, Shaodan Zhi*, et.al. Synchronous decomposition match-reassigning transform and its application in planetary gearbox fault diagnosis[J]. Measurement Science and Technology, 2025, 36: 016139.
[7]Hengshan Wu, Shaodan Zhi, et.al. Synchronous match-reassigning transform: A method for extracting time-varying features of planetary gearbox[J]. Signal Processing, 2024, 225:109639.
[8] Limei Ma, Xingyu Jiang, Zizhen Tang, Shaodan zhi*, et.al. Wind turbine blade defect detection algorithm based on lightweight MES-YOLOv8n[J]. IEEE Sensors Journal, 2024, 24(17): 28409-28418.
[9] Shaodan Zhi, Yuli Niu, et. al. Local Entropy Selection Scaling-extracting Chirplet Transform for Enhanced Time-Frequency Analysis and Precise State Estimation in Reliability-Focused Fault Diagnosis of Non-stationary Signals[J]. Eksploatacja i Niezawodność – Maintenance and Reliability. 2025. doi:10.17531/ein/205977.
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往期论文：
[1] Shaodan Zhi, Jianyong Li, A.M. Zarembski. Grinding motor energy saving method based on material removal model in rail grinding processes[J]. International Journal of Precision Engineering and Manufacturing -Green Technology, 2015, 2(1): 21-30.
[2] Shaodan Zhi, Jianyong Li, A.M. Predictive modeling of the rail grinding process using a distributed cutting grain approach[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2016, 230(6): 1540-1560.
[3] 智少丹, 李建勇, 蔡永林, 沈海阔, 聂蒙. 基于标准廓型钢轨的打磨模式机理研究[J]. 中南大学学报. 2015, 46(6).
[4] 智少丹, 李建勇, 刘月明, 聂蒙. 基于磨粒切削模型的钢轨的打磨机理研究[J]. 中国铁道科学. 2015, 36(01), 33-39.
[5] 智少丹, 李建勇, 樊文刚等.钢轨打磨接触线模型研究[J]. 铁道学报，2013，35(10): 94-99.
[6] Shaodan Zhi, Yongbin Wei, et.al. Fuzzy control of intelligent indoor exercise environment in air-polluted area[C]. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 24-29, Vancouver, Canada, 2016: 678-684.
[7] Shaodan Zhi, Yongbin Wei, et.al. Air quality monitoring platform based on remote unmanned aerial vehicle with wireless communication[C]. Proceedings of the International Conference on Future Networks and Distributed Systems, July 19-20, Cambridge, UK, 2017: 1-7. (获最佳论文奖Best Paper Award)
[8] Shaodan Zhi, Yongbin Wei, et.al. Intelligent controlling of indoor air quality based on remote monitoring platform by considering building environment[C]. 2017 4th International Conference on Systems and Informatics (ICSAI), Nov 11-13, Hangzhou, China, 2017: 627-631.
[9] Shaodan Zhi, A.M. Zarembski, Jianyong Li. Towards a Better Understanding of the Rail Grinding Mechanism[C] . Rail Transportation Division Conference. American Society of Mechanical Engineers, October 15–17, Altoona, Pennsylvania, USA, 2013, 56116: V001T01A003.
[10] Shaodan Zhi, Yongbin Wei, et.al. Multisensory System Research for Large Area Deformation Based on Optical Measuring with UAV and Ground Visual Assists[C]. International Conference on Information technology in Geo-Engineering, Springer, Sep 29- Oct. 2, Guimarães, Portugal, 2019: 450-459.
[11] Shaodan Zhi, Jianyong Li, et al. Model-analyzing Process for Grinding Forces in Rail Grinding[C]. 2nd International Conference on Railway Engineering, Jul 20-22, Beijing, China, 2012.
专著/译著
专利
软件著作权
获奖与荣誉
2025届本科毕业生“最敬爱的老师”
2025优秀班主任
2025本科毕业设计优秀指导教师