免费送彩金白菜网_跳槽彩金优惠活动的网站

刘晓志

副教授

  

教育经历

1986.9-1990.7 沈阳工业大学 电气工程系 工业自动化专业 学士学位

1992.9-1995.3 跳槽彩金优惠活动的网站自动控制系控制理论与控制工程专业硕士学位

2000.3-2005.9跳槽彩金优惠活动的网站免费送彩金白菜网控制理论与控制工程专业博士学位

  

工作经历

1995.3-1997.6 跳槽彩金优惠活动的网站 自动控制系 助教

1997.6-2005.6 跳槽彩金优惠活动的网站 免费送彩金白菜网 讲师

2005.6至今跳槽彩金优惠活动的网站免费送彩金白菜网副教授

  

研究方向

基于统计分析方法的信息处理算法研究;复杂工业过程智能建模与控制;服务智能制造过程监测、故障诊断及智能运维技术。

  

招收硕士方向

欢迎自动化、电气自动化、数学等专业学生报考硕士研究生

项目

1.基于工业大数据的铝-铜板带材智能化工艺控制技术,国家重点研发计划项目,2017YFB03064002017-07-2021-061924万元

2.长型材智能化制备关键技术,国家重点研发计划项目,2017YFB03042002017-07-2021-062469万元

3.邯钢热风炉智能燃烧控制系统技术开发及应用,横向课题,2019-202290万元

4.宁波宝新不锈钢3AP机组模型智能化改造研究,横向课题,2018-201942万元

5.钢温检测装置及相关建模软件开发,横向课题,2008-201114万元

  

学术成果

专著或教材

1.主编《电工与电子技术》,科学出版社,2018,ISBN978-7-03-059016-9

2.主编《电工技术》,机械工业出版社,2012,ISBN978-7-111-35833-6

3.主编《电工与电子技术学习指导》,冶金工业出版社,2008,ISBN978-7-5024-4467-9

  

期刊论文

1. Liu Xiaozhi, Yue Zhang, Liping Zhang, et al. A Novel Process Monitoring Method Based on Dynamic Related ReliefF-SFA Method, IEEE ACCESS, 2020, 8(1): 41673-41683.

2. Yang Yinghua, Wang Xiulong, Liu Xiaozhi. A new incipient fault monitoring method based on modified principal component analysis, Journal of Chemometrics, 2019, 33(10): e3175.

3. 刘晓志, 宋牧野, 李鸿儒. 基于伪数据相关矩阵二次重构的DOA估计新算法, 跳槽彩金优惠活动的网站学报自然科学版, 2018, 39(6): 761-765+770.

4. 刘晓志, 齐迪迪, 贲驰. 基于畸变分离的摄像机标定方法, 跳槽彩金优惠活动的网站学报自然科学版, 2017, 38(5): 620-624.

5. Yang Yinghua, Li Xiaole, Liu Xiaozhi, et al. Wavelet kernel entropy component analysis with application to industrial process monitoring[J]. Neurocomputing, 2015, 147(1): 395-402.

6. Liu Xiaozhi, Feng Dawei, Zhang Tianshuang, et al. Multi-user detection based on PSO-KICA, Applied Mathematics & Information Sciences, 2015, 9(1L): 111-115.

7. 刘晓志, 邵秀, 杨英华. 基于复数FastICA算法的盲多用户检测, 跳槽彩金优惠活动的网站学报自然科学版, 2014, 35(9): 1253-1256+1261.

8. 刘晓志,李静, 冯大伟.基于CAPSO-ICADS-CDMA系统盲多用户检测,系统仿真学报,2014,26(6):1285-1290.

9. 刘晓志,杨晨.基于自适应和声搜索算法的摄像机标定方法,计算机工程与设计,2014, 35(7): 2390-2394.

10. 刘晓志,冯大伟,杨英华等. 基于核独立元分析的盲多用户检测算法,跳槽彩金优惠活动的网站学报自然科学版, 2012, 33(6): 778-781.

  

会议论文

1. Xiaozhi Liu, Liping Zhang, Yinghua Yang, et al. Process Monitoring Based on Robust Slow Feature Analysis, Proceedings of the 31st Chinese Control and Decision Conference, 2019, 434-439.

2. Xiaozhi Liu, Haotong Li. A new method of fault diagnosis in rolling bearings, Proceedings of the 4th International Conference on Mechanical, Control and Computer Engineering, 2019, 120-123.

3. Liu Xiaozhi, Su Ganggang, Yang Yinghua. Fault Diagnosis of Rolling Bearing Based on Wavelet Packet Transform and GA-Elman Neural Network, Proceedings of the 31st Chinese Control and Decision Conference, 2019, 462-466.

4. Liu Xiaozhi, Song Muye, Yang Yinghua. An effective DOA estimation method of coherent signals based on reconstruct weighted noise subspace, Proceedings of the 29th Chinese Control and Decision Conference, 2017, 2218-2222.

5. Xiaozhi Liu, Didi Qi. Camera calibration based on self-adaptive cuckoo search algorithm, Proceedings of the 8th International Conference on Intelligent Human-Machine System and Cybernetics, 2016, 2: 95-98.

6. Liu Xiaozhi, Qi Didi. A self-adaptive bat algorithm for camera calibration, Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics, 2016, 1281-1286

7. Liu Xiaozhi, Li Jing, Wu Liangming. Blind estimation of spreading sequences based on improved Fast-ICA, Proceedings of the 2nd International Conference on Mechanical Engineering, Industrial Electronics and Information, 2013, 1258-1262.

8. Liu Xiaozhi, Li Jing. Multi-user detection based on improved KICA with bat algorithm, Proceedings of the 2nd International Conference on Measurement, Instrumentation and Automation, 2013, 1867-1870.

9. Liu Xiaozhi, Feng Dawei, Zhang Tianshuang. Multi-user detection of DS-CDMA based on improved-FastICA, Proceedings of the 4th International Conference on Measuring Technology and Mechatronics Automation, 2012, 633-636.

10. Liu Xiaozhi, Feng Dawei, Zhang Tianshuang. Multi-user Detection of DS-CDMA Based on PSO-ICA, Proceedings of the 4th International Congress on Image and Signal Processing, 2011, 2517-2520.

 

联系方式

办公室:信息楼411

电话:13700014346

邮箱:liuxiaozhi@mail.neu.edu.cn