Basic Information
Name: Gao Zhilong
Gender: male
Department: School of Mechanical and Electrical Engineering
Email：buct200931212@163.com
Education/Academic Credentials: Doctor
Office Location:Room 211, Science and Technology Building, No. 15 North Third Ring East Road, Chaoyang District, Beijing
ORCID：0000-0001-7783-049X
DBLP:
Research direction:
Focusing on Intelligent Monitoring and Fault Diagnosis Technology for Power Equipment Status; Multi body Dynamics Modeling, Simulation, and Advanced Computing; Vibration Signal Noise Reduction Processing and Intelligent Perception Technology.
Introduction:
Gao Zhilong, Associate Research Fellow (Natural Sciences), holds his doctoral degree in 2020，mainly focuses on the research of intelligent monitoring and fault diagnosis technology for power equipment status, multi-body dynamics modeling and simulation with advanced computing, data analysis and processing, and trend prediction. Be responsible for 7 scientific research projects, one of which is Basic Research on Equipment. Participated in one National key research and development plan and one National Natural Science Foundation of China. Published nearly ten papers and patents as first author or corresponding author.
Research:
Research on status monitoring and fault diagnosis algorithms for special vehicle power and transmission systems, and monitoring system design;
Modeling and simulation of gear transmission systems；Virtual computing of diesel engine; Noise reduction, purification, and trend analysis of status monitoring data.
Teaching:
Engineering training; Measurement and control.
Funding:
Be in charge of seven research funding program, including:
Basic research projects of equipment(514010507-205)；
Fundamental Research Funds for the Central Universities (ZY2104);
Five other funding supports from enterprises or research institutes (XJH2022010002,XJH2023111059,XJH2023100040,XJH2024011004)
Participated in two scientific research projects, including:
National Natural Science Foundation of China（62273025）
National key research and development plan (2016YFF0203305)
Publications:
1）Zhilong Gao，Hanjiang Song, Yongdan Chen, Jinjie Zhang, Zhinong Jiang. Fault Feature and Diagnostic Method of Bending Micro-deformation of Crankshaft of Piston Engine. Nondestructive Testing and Evaluation.2020. DOI: 10.1080/10589759.2019.1668942 (SCI)
2）Zhilong Gao，Baiqi Huo, Jinjie Zhang, Zhinong Jiang. Failure investigation of gear teeth fracture of seawater pump in a diesel engine. Engineering Failure Analysis. 105(2019)1079–1092.(SCI)
3）Zhilong Gao，Zhinong Jiang, Jinjie Zhang. Identification of power output of diesel engine by analysis of the vibration signal. Measurement and Control. DOI: 10.1177/0020294019866851 (SCI)
4）Lei Jianxin, Jiang Zhinong, Gao Zhilong, Zhang Wenbo. A state estimation method based on CNN-LSTM for ball screw[J].Measurement and Control. 2024.DOI: 10.1177/00202940241241924 (SCI)
5）Jianxin Lei; Wenbo Zhang; Zhinong Jiang; Zhilong Gao; A Review: Prediction Method for the Remaining Useful Life of the Mechanical System, Journal of Failure Analysis and Prevention,2022, 2022(22): 2119-2137 (EI)
6）XIN Bo ，GAO Zhilong，JIANG Zhinong，ZHI Haifeng ，LEI Jianxin.Research on Fault Monitoring and Early Warning Technology for Camshaft Fracture of A Certain Diesel Engine [J].Chinese Internal Combustion Engine Engineering, 2023,44(02):100-108.
7）GAO Zhi-long , HUO Bai-qi, TANG Song-lin , YAO Zi-yun , Zhang Jin-jie. Study on Fault Diagnosis Method for Diesel Engines Based on Instantaneous Speed and Impact Signal [J].NOISE AND VIBRATION CONTROL,2016,36(04):156-160+182.
8）GAO ZhiLong, HUO BaiQi, TONG YiJun, et al. Fault diagnosis of the connecting rod bush of internal combustion engines based on wireless temperature monitoring[J] Journal of Beijing University of Chemical Technology (Natural Science),2019,46(4): 80 - 85.
9）Gao Zhilong，Jiang Zhinong，Zhangjinjie， A method for evaluating the output power of diesel engines based on vibration acceleration signals, invention patent, patent number 201910742787.1
Awards: