Gaozhilong头像

Gaozhilong

Associate Research Fellow (Natural Sciences)

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.

Education: Doctor

10 Access

  • Email: buct200931212@163.com
  • Office : Room 211, Science and Technology Building,Chaoyang District, Beijing

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.

Education

Work Experience

Social Position

Social Activities

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 systemsVirtual computing of diesel engine; Noise reduction, purification, and trend analysis of status monitoring data.


Teaching

Engineering training; Measurement and control.

Postgraduates

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 China62273025

National key research and development plan (2016YFF0203305)


Vertical Project

Horizontal Project

Publications

1Zhilong GaoHanjiang 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)

2Zhilong GaoBaiqi 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)

3Zhilong GaoZhinong Jiang, Jinjie Zhang. Identification of power output of diesel engine by analysis of the vibration signal. Measurement and Control. DOI: 10.1177/0020294019866851 (SCI)

4Lei 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)

5Jianxin 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)

6XIN Bo GAO ZhilongJIANG ZhinongZHI 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.

7GAO 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.

8GAO 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.

9Gao ZhilongJiang ZhinongZhangjinjieA method for evaluating the output power of diesel engines based on vibration acceleration signals, invention patent, patent number 201910742787.1


Awards

Patent

Honor Reward

Admissions Information