刘嘉濛

刘嘉濛，浙江工业大学机械工程学院讲师。

2020年毕业于北京化工大学，获工学博士学位

研究方向为设备信号分析、机械设备故障诊断方法。

[1] Jiameng Liu, Chao Wang, Liangfeng Xu, Mengjiao Wang, Yingjie Xu. Enhancing Residential Electricity Safety and Management: A Novel Non-Intrusive Load Monitoring-Based Methodology for Accurate Appliance Operational State Identification[J]. Applied Sciences. 2024, 14(2):503.

[2] Jiameng Liu, Bo Ma, Zhinong Jiang. A Study of Probabilistic Diagnosis Method for Three Kinds of Internal Combustion Engine Faults Based on the Graphical Model[J]. Mathematical Problems in Engineering. 2019:1-14.

[3] 刘嘉濛，马波，江志农. 基于Noisy-Max模型和邻、对缸振动信号的柴油机失火故障概率诊断[J]. 内燃机学报, 2020, 38(06):560-568.

[4]刘嘉濛，郑凡帆，梁丽冰，马波. 基于领域对抗网络的轴承故障诊断方法[J].机电工程，2020, 37(3): 227-233.

[5] Jiameng Liu，Liangfeng Xu，Zengliang Gao. A study of cylinder knock diagnosis of diesel engine based on the Bayesian network with Noisy-Max gate[C]// 2022全国设备监测诊断与维护学术会议暨全国设备故障诊断学术会议, 太原，2022.

[6] Qing Li, Bo Ma, Jiameng Liu. Remaining Useful Life Prediction of Rolling Element Bearings Based on Different Degradation Stages and Particle Filter[J]. Transactions of Nanjing University of Aeronautics and Astronautics. 2019, 36(3): 432-441.

[7] Bo Ma, Jiameng Liu, Zhinong Jiang. Multivariate Reliability Assessment Study for Support Ring of Reciprocating Compressor Based on Multidimensional Information[C]// The 29th International Congress on Condition Monitoring and Diagnostic Engineering Management, Xi’an, 2016.

[8] 刘嘉濛，王超，高增梁. 基于电流谐波值的家庭洗衣机工作状态识别方法及系统, 2023-10-30, 中国, 202311422680.1 

[9] 刘嘉濛，王超，高增梁. 一种柴油机运行状态数据耦合模型的自更新方法及系统, 2023-10-30, 中国, 202311418950.1 

[10] 宋伊晨，刘嘉濛，徐滌平. 多层次图像处理与深度学习模型协同的电池缺陷检测方法, 2023-9-5, 中国, 202311137503.9 

[11] 王志伟，徐英杰，孙哲，毛剑峰，刘嘉濛. 一种利用垃圾焚烧电厂烟气余热及二氧化碳捕集系统,2023-12-12, 中国, 202311699122.X 

本科生课程

大型装备物联网与监控技术，过程装备物联网与监控技术(双语），化学科学概论

研究生课程

设备健康监测与故障诊断，热力学节能案例分析（双语）