马登龙 |
先进无损检测与智能模式识别;
智能传感检测技术与系统;
制造智能感知与智能质量控制;
大数据分析与系统质量安全可靠性
1.国家自然科学基金青年项目,NO.21808181, 《仿雌蚊搜寻行为的封存二氧化碳地表泄漏迭代序列溯源方法》,28万, 2019 .01- 2021.12,主持。
2.国家重点研发计划,网络协同制造和智能工厂-基于数据驱动的重大产品装配质量监控与优化方法(2019YFB1703800, 500万,课题1:复杂产品装配全息质量监控与预测,2019YFB1703801,2020 年01月 至 2022年12月,参与(排名第2)
3. 陕西省重点研究项目,No.2017ZDXM-GY-115,《高温高压容器管道泄漏全周期多场耦合精细化监测关键技术研究》,110万,2017.8-2020.12,主持(合作单位)
4. 陕西省自然科学研究计划(面上),机器嗅觉驱动的化工园区气体泄漏仿生移动溯源方法研究,2020JM-021,5万, 2020.1-2021.12,主持
5. 中国博士后科学基金项目,2015M582667,《大型天然气储气库近地表泄漏源辨识问题研究》, 8万, 2015.9-2017.7 ,主持
6.陕西省博士后基金,No.2017BSHYDZZ09,一等,《复杂环境下地质封储气体地表泄漏识别溯源方法研究》,8万,2017.1-2019.1,主持
7. 横向项目,压力容器管道泄漏检测装置系统开发,陕西省特种设备检验检测研究院,202010114,24万,2020.8.01-2020.12.31,主持
[1]DenglongMa, Jianmin Gao, Zaoxiao Zhang, HongZhao, Gas recognition method based on the deep learning model of sensor array response map, Sensors and Actuators B: Chemical, Available online 23 December 2020, 129349;(IF=7.1)
[2]Ma D.L., Tan W., Zhang Z.X.Hu Jun., Parameter identification for continuous point emission source based on Tikhonov regularization method coupled with particle swarm optimization algorithm[J], Journal of Hazardous Materials, 2017,325:239-250.(IF=9.04)
[3] Denglong Ma , Zaoxiao Zhang , Contaminant dispersion prediction and source estimation with integrated Gaussian-Machine learning network model for point source emission in atmosphere, Journal of Hazardous Materials, 2016,311:237-245.(IF=9.04)
[4] Denglong MA, Jianqiang Deng, Zaoxiao Zhang. Comparison and improvements of optimization methods for gas emission source identification, Atmospheric Environment,2013,81:188-198.( IF=4.04)
[5]Denglong Ma, Simin Wang, Zaoxiao Zhang. ,Hybrid algorithm of minimum relative entropy-particle swarm optimization with regularization parameters for gas source term identification, Atmospheric Environment, 2014.94:637-640.( IF=4.04)
[6] Denglong Ma, Wei Tan, Qingsheng Wang, Zaoxiao Zhang, Jianmin Gao, Xiaoqiao Wang, Fengshe Xia. Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution, Process Safety and Environmental Protection,2018,117 498-510.( IF=4.97)