北京化工大学 YANG GUOAN个人主页-Professor-机电工程学院

Email: yangga@mail.buct.edu.cn
Office :

Introduction

Executive Director of the Diagnostic Engineering Committee of the China Equipment Management Association,Director of the Fault Diagnosis Professional Committee of the China Vibration Engineering Society, Director of the Health and Monitoring Professional Committee of the China Instrumentation Society, and Expert Reviewer of the National Natural Science Foundation and the National Science and Technology Progress Award. My research focuses on the monitoring and fault diagnosis of mechanical and electrical equipment, as well as vibration suppression and safety assurance technology. Hosted over 10 national and provincial-level projects, including the National Natural Science Foundation, over 50 enterprise projects, published over 100 papers, independently published 10 monographs on Practical Techniques for Mechanical Equipment Fault Diagnosis and Practical Techniques for Mechanical Equipment Fault Diagnosis Series, and won 9 first prizes in the Excellent Publication Award (Book Award) of China Petroleum and Chemical Industry. Multiple lectures and project collaborations have been conducted for dozens of large state-owned enterprises, including Sinopec, PetroChina, Tianshan Group, Jinchuan Group, Harbin Petrochemical, FAW Car, Liaoyang Petrochemical, Datang Duolun Coal Chemical, Qilu Petrochemical, Yanshan Petrochemical, Tianjin Petrochemical, Lanzhou Petrochemical, Wuhan Iron and Steel Company, Shengli Oilfield, Zhongyuan Oilfield, and Dagang Oilfield. We have solved equipment failure problems for enterprises more than 30 times, including key dynamic equipment such as large centrifugal compressor units, reciprocating compressor units, fans, and hot oil pumps, as well as static equipment such as cyclone separators and pipelines, fundamentally eliminating long-term equipment safety hazards that have plagued enterprises. We have achieved unique technological achievements in the development of status monitoring and intelligent diagnostic systems for electromechanical equipment, vibration reduction technology for reciprocating machinery and pipelines, safety evaluation and life assessment technology for pressure vessels, etc.

Research

Research areas focuses on the monitoring and fault diagnosis of mechanical and electrical equipment, as well as vibration suppression and safety assurance technology.

Teaching

1.Graduate Course: Engineering Testing and Signal Analysis

2.Undergraduate Course: Fundamentals of Chemical Equipment and Machinery

Funding

1 National Natural Science Foundation of China project

1.1 Research on Feature Extraction and Evaluation Method of AE Signal for Early Failure of Aircraft Engine under Dynamic Complex Path

1.2 Research on Automatic Damage Identification Method for Offshore Platform Structures Based on AE Signal Fuzzy Function Image Correlation Analysis

1.3 Comprehensive evaluation of the working status of drilling mud pump valves and research on multi parameter impact free theory

2 973 Project

Integrated coupling and optimization of complex systems of main and auxiliary equipment in compressor units

3 Some other vertical projects

3.1 Strategic research on in-service remanufacturing engineering of process industry machinery and equipment

3.2 Research on the Intelligent Development Strategy of Health and Energy Efficiency Monitoring for High end Energy Power Machinery in China

3.3 Research and develop implementation plans for promoting the in-service remanufacturing of process industry equipment

3.4 Industrial Equipment Green Development Engineering Technology Strategy and Countermeasures

3.5 Research on the Development Strategy of Green Intelligent Equipment Technology in Process Industry

4 Partial horizontal projects

4.1 Centrifugal compressor simulation and training system

4.2 Key technologies for vibration reduction of large units and pipelines

4.3 Nitrogen reciprocating compressor unit and pipeline vibration reduction in coal chemical air separation unit

4.4 Vibration reduction for compressors and vacuum pumps in petrochemical companies' refineries

4.5 Vibration suppression of booster compressor in refinery reforming unit

4.6 Research on Fault Prediction and Remaining Life Calculation Method for Air cooled Cooling Equipment

4.7 Y308 Intelligent Inspection Management System for Mechanical Equipment

4.8 Development of Intelligent Maintenance System for Oilfield Water Injection Pump Station Equipment

4.9 Development of equipment point inspection instrument for petrochemical plants

4.10 Development of Intelligent Management System for Petrochemical Plant Equipment

4.11 Development of Intelligent Management System for Oil Production Station Equipment Maintenance

4.12 Safety assurance system for offshore oil platforms

Publications

1] Cong Han, Tong Liu, Yucheng Jin, Guoan Yang*. Acoustic Emission Intelligent Identification for Initial Damage of the Engine based on Single Sensor[J]. Mechanical Systems and Signal Processing, 2022, 169:108789. https://doi.org/10.1016/j.ymssp.2021.108789. （SCI, Q1, TOP)

2] Tong Liu, Cong Han, Zhenquan Li, QianLin Wang, Guoan Yang. A Method of Acoustic Emission Source Location for Engine Fault Based on Time Difference Matrix[J]. Structural Health Monitoring. （SCI, TOP, Q2)

3]Shuo Wang, Tong Liu, Kaiyuan Luo, Guoan Yang. Identification of engine faults based on acoustic emission signals using a 1DCNN-ViT ensemble model[J]. Measurement Science and Technology, 2022, 34(2): 024007.

4]Tong Liu, Yucheng Jin, Shuo Wang, Qinwen Zheng, Guoan Yang. Denoising method of weak fault acoustic emission signal under strong background noise of engine based on autoencoder and wavelet packet decomposition[J]. Structural Health Monitoring, 2023:14759217221143547.

5]Yucheng Jin, Zhengcai Guo, Zhenquan Li, Cong Han, Tong Liu, Guoan Yang. Propagation characteristics of acoustic emission signals in solid-liquid-solid coupling interface[J]. Measurement, 2023, 213: 112686.