个人主页： 主要从事大数据背景下数据分析、数据挖掘算法研究，应用于旋转机械健康监测诊断领域，对冗余数据进行数据预处理、有用信息挖掘分析，结合机器学习算法，实现机械关键部件故障智能判别与分类。 江苏省科技厅“科技副总”、苏州市姑苏创新创业领军人才、昆山市创新创业领军人才。主持江苏省产学研合作项目1项，江苏省高校自然科学研究面上项目1项，省重点实验室开放课题1项，企业横向课题3项，教育部教研项目2项，发表学术论文10余篇，学术特邀会议报告1项，第一发明人授权发明专利9件，出版教材1部，参与制定国家标准1项，指导本科生学科竞赛获奖30余项，校优秀毕业设计一等奖3项，指导本科生大学生创新创业训练计划28项，省级大创项目2项。获得毕业设计校优秀指导教师，学科竞赛校优秀指导教师等荣誉。 代表性论文： [1]Yong Ren, Wei Li, Bo Zhang, Zhencai Zhu and Fan Jiang. Fault diagnosis of rolling bearings based on improved kurtogram in varying speed conditions. Applied Sciences, 2019, 9(6): 1157. [2]Yong Ren, Wei Li, Zhencai Zhu and Fan Jiang. ISVD-based in-band noise reduction approach combined with envelope order analysis for rolling bearing vibration monitoring under varying speed conditions. IEEE Access, 2019, 7: 32072-32084. [3]Yong Ren, Wei Li, Zhencai Zhu, Zhe Tong and Gongbo Zhou. A new fault feature for rolling bearing fault diagnosis under varying speed conditions. Advances in Mechanical Engineering, 2017, 9(6): 2071939477. [4]Yong Ren. Fault Diagnosis of a Gearbox Under Varying Speed Based on STFT and SVM. 13th International Workshop of Advanced Manufacturing and Automation (IWAMA 2023), Shanghai, China, October 15, 2023 - October 16, 2023. [5]Yong Ren, Wei Li. ISVD-order tracking based approach for rolling bearing fault diagnosis under unknown variable speed conditions. 25th International Congress on Sound and Vibration (ICSV 2018)，Hiroshima, Japan, July 8, 2018-July 12, 2018. | 
