基本信息

性别：男                   ||  政治面貌：党员                            ||  现任职称：副教授

最后学历： 博士       ||  最后学位：工学博士                     ||  获学位单位：华北电力大学

是否留学：是           ||  留学国别：英国                             ||  留学时间：2015-2016   

联系方式：               ||  邮箱：cuixiwang@bistu.edu.cn    ||  通讯地址：北京海淀区清河小营东路12号

导师信息

硕导/博导：硕导    ||  批硕/博导时间：2021.12

在读硕士：2人       ||  毕业硕士：0人    

所属院系、学科及研究方向

所属学院：澳门尼威斯人网站8311

所属学科：测控技术与仪器

研究方向1：声学和振动信号处理

研究方向2：埋地物地探测成像

研究方向3：设备故障诊断和信号源定位

参加学术团体

中国声学学会

中国人工智能学会

工作简历

澳门尼威斯人网站8311 副教授

澳门尼威斯人网站8311 讲师

中国科学院声学研究所 博士后

承担教学任务

本科课程：信号与系统

承担科研项目情况

[1] 国家自然科学基金青年基金, 12104060, 在研, 主持;

[2] 北京市自然科学基金青年基金, 1214025, 结束, 主持;

[3] 北京市教委科研计划项目, KM202111232021, 在研, 主持;

[4] 国家重点实验室开放课题研究基金，SKLA202204，在研, 主持;

[5]中央高校基本科研业务专项资金, 2014XS40, 结束，主持;

[6]国家自然科学基金面上项目, 11974376, 结束, 参加;

[7]国家自然科学基金面上项目, 11874389, 结束, 参加

主要论文目录

[1] X. Cui, Y. Gao, Y. Ma, F. Liu, H. Wang. Time delay estimation using cascaded LMS filters fused by correlation coefficient for pipeline leak localization. Mechanical Systems and Signal Processing, 2023, 199: 110500. （一区Top）

[2]Z. Yan, X. Cui*, Y. Gao. Acoustic injection method based on weak echo signals for leak detection and localization in gas pipelines. Applied Acoustics, 2023, 211: 109577.

[3]X. Han, J. Liu, X. Cui*, Y. Gao, Z. Yan. Identification of Pipeline Leak Sizes Based on Chaos-Grey Wolf-Support Vector Machine. IEEE Sensors Journal, 2023. 10.1109/JSEN.2023.3307673.

[4]X. Han, W. Cao, X. Cui*, Y. Gao. Plastic Pipeline Leak Localization Based on Wavelet Packet Decomposition and Higher Order Cumulants. IEEE Transactions on Instrumentation and Measurement. 2022, 71, 3520911.

[5] X. Cui, Y. Gao, Y. Ma, Y. Liu, B. Jin. Variable step normalized LMS adaptive filter for leak localization in water-filled plastic pipes. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 9600511.

[6]X. Cui, Y. Yan, Y. Hu, M. Guo. Performance comparison of acoustic emission sensor arrays in different topologies for the localization of gas leakage on a flat-surface structure. Sensors and Actuators A-Physical, 2019, 300, 111659.

[7] X. Cui, Y. Yan, Y. Ma, L. Ma, X. Han. Localization of CO2 leakage from transportation pipelines through low frequency acoustic emission detection. Sensors and Actuators A-Physical, 2016, 237: 107-118.

[8] H. Ji, X. Cui*, Y. Gao, X. Ge. 3D ultrasonic localization of transformer patrol robot based on emd and PHAT-β algorithms. IEEE Transactions on Instrumentation and Measurement, 2021, 70, 9004810.

[9]X. Cui, Y. Yan, M. Guo, X. Han, Y. Hu. Localization of CO2 leakage from a circular hole on a flat-surface structure using a circular acoustic emission sensor array. Sensors, 2016, 16(11), 1951.

[10]Y. Yan, X. Cui, M. Guo, X. Han. Localization of a continuous CO2 leak from an isotropic flat-surface structure using acoustic emission detection and near-field beamforming techniques. Measurement Science and Technology. 2016, 27, 115105.

[11] H. Ji, X. Cui*, W. Ren, et al. Visual inspection for transformer insulation defects by a patrol robot fish based on deep learning. IET Science, Measurement & Technology, 2021, 15: 606-618.

[12] X. Han, S. Zhao, X. Cui*, Y. Yan. Localization of CO2 gas leakages using acoustic emission multi-sensor fusion based on Wavelet-RBFN modeling. Measurement Science and Technology, 2019, 30, 085007.

[13]Y. Yan, Y. Shen, X. Cui, Y. Hu. Localization of multiple leak sources using acoustic emission sensors based on music algorithm and wavelet packet analysis. IEEE Sensors Journal, 2018, 18(23): 9812-9820.

[14] X. Ge, H. Ji, X. Cui. Movement behavior and partial discharge of the single metallic particle in GIS, IEEE Transactions on Plasma Science, 2019, 47(9)：4319-4328.

[15]Y. Ma, Y. Gao, X. Cui, M. J. Brennan, J. Yang, Adaptive phase transform method for pipeline leakage detection, Sensors, 2019, 19(2), 310.

[16] X. Han, F. Chen, X. Cui, Y. Li, X. Li. A power smoothing control strategy and optimized allocation of battery capacity based on hybrid storage energy technology. Energies, 2012, 5(5): 1593-1612.

科研成果  

[1] 一种基于声波主动激励的地下非金属管线探测系统及方法. 发明专利：ZL 2022 1 1415031.4

[2] 基于碰撞声特征的生物质颗粒粒径识别系统及方法. 发明专利：ZL 2022 1 1370029.X

[3] 基于声阵列椭圆轨迹的地下非金属管线探测系统及方法. 发明专利, 申请号：202310911913.8

[4] 一种基于不匹配传感器混用的管道泄漏检测系统及方法. 发明专利，申请号：202311072969.5

[5] 一种基于自适应滤波器的管道泄漏定位装置. 发明专利：ZL 2019 1 0699473.8.  

[6] 一种基于声波反射的埋地管线探测装置及方法. 发明专利：ZL 2018 1 0083685.9.

[7] 一种基于极性零点检测的时延估计方法及系统. 发明专利：ZL 2019 1 0689877.9.

[8] 一种基于互相关的管道泄漏定位方法. 发明专利：ZL 2018 1 0083681.0. 

[9] 一种基于低频流体波特征识别的充液管道泄漏检测方法. 发明专利, 申请号：202211122824.7

[10] 一种浅层埋地非金属物体探测系统. 实用新型：ZL 2019 2 1220801.3.