WuHaiyan头像

WuHaiyan

Associate professor

Research direction: Machine Learning、Fault Diagnosis

Education:

10 Access

  • Email: wuhy@mail.buct.edu.cn
  • Office :

Introduction

Education

Work Experience

Social Position

Social Activities

Research

National Natural Science Foundation Projects/Researches in the Past Five Years:

1.     National Natural Science Foundation of China, Lightweight Robust Learning and Fault Diagnosis for Process Industry Big Data

2.     National Natural Science Foundation of China, Distributed Process Monitoring and Fault Diagnosis for Complex Process Industries under Big Data

3.     Beijing Liayap Automation Technology Co., Ltd., R&D of Autonomous Learning Function for Motion Control Platform Based on Artificial Intelligence Technology

4.     China National Offshore Oil Corporation (CNOOC) Energy Development Equipment Technology Co., Ltd., Fault Models and Early Warning for Central Control Hardware Equipment

5.     Academy of Military Science, Chinese People’s Liberation Army (PLA), Optimization Control Method for Batch Distillation Process with Transfer Distillation Operation

Representative Publications:

1.     Chen Yu; Wu Haiyan; Wang Jing; Lin Weiguo; Agglomeration-monitoring method for fluidized bed with multi-acoustic sensors, Industrial & Engineering Chemistry Research, 2019, 58(42): 19531-19544.

2.     Guo Jiaqi; Wu Haiyan; Chen Xiaolei; Lin Weiguo; Adaptive SV-Borderline SMOTE-SVM algorithm for imbalanced data classification, Applied Soft Computing, 2024, 150: 110986.

Patents:

1.     Wu Haiyan; Wang Ziyang; Agglomeration Fault Monitoring Method for Fluidized Bed Based on Kernel Probability Density Estimation and Weighted Upsampling, China Patent.

2.     Wu Haiyan; Fan Guoxuan; Bagging and RM-LOF-Based Ensemble One-Class Anomaly Detection Method for Imbalanced Industrial Process Data, China Patent.


Teaching

                                           

Undergraduate Teaching

Ÿ   Principles of Automatic Control Systems

Ÿ   MATLAB Simulation of Control Systems

Ÿ   Process Fault Diagnosis



Postgraduates

Funding

1.     National Natural Science Foundation of China, Lightweight Robust Learning and Fault Diagnosis for Process Industry Big Data

2.     National Natural Science Foundation of China, Distributed Process Monitoring and Fault Diagnosis for Complex Process Industries under Big Data


Vertical Project

Horizontal Project

Publications


(1)GuoJiaqi; WuHaiyan; ChenXiaolei; LinWeiguo ; Adaptive SV-Borderline SMOTE-SVM algorithm

for imbalanced data classification, Applied Soft Computing, 2024, 150: 110986 

(2) Chen Yu; Wu Haiyan; Wang Jing; Lin Weiguo ; Agglomeration-monitoring method for fluidized

bed with multi-acoustic sensors, Industrial & Engineering Chemistry Research, 2019, 58(42):

19531-19544 

(3) Principles of Automatic Control, Higher Education Press, 2022


Awards

Patent

Honor Reward

Admissions Information