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MaBo

Professor Ph.D

Department:

Fields:

Email: mabo@mail.buct.edu.cn

Office

ORCID 0000-0003-0182-1292

DBLP

10 Visits

Introduction

Education

Work Experience

Mainly engaged in the research of fault diagnosis and intelligent operation and maintenance of electromechanical equipment.Focused on the research and development of fault diagnosis technology, intelligent fault diagnosis system, intelligent maintenance and protection system, remote monitoring and early fault warning technology for turbomachinery, pumps, reciprocating machinery, engines, motors and other electromechanical equipment. Presided over a number of vertical projects, including the National Natural Science Foundation of China, the Industrial Internet Innovation and Development Project of theMinistry of Industry and Information Technology (MIIT), the sub-project of the National Key R&D Programme, the National Defense 973 Project, and the 173 Project. Responsible for more than 30 scientific research projects for enterprises, such as the China Energy Investment (CHN ENERGY), the China State Shipbuilding Corporation Limited (CSSC), the China National Nuclear Corporation (CNNC), theChina General Nuclear Power Group (CGN), the China National Petroleum Corporation (CNPC). The research achievements have been awarded the third prize of the Beijing Science and Technology and the special prize of the China Petroleum and Chemical Industry Association (CPCIA). Serves as a member of the Expert Advisory Committee of the Intelligent Detection Equipment Industryof the MIIT, as well as a member of the Technical Committee of the National Engineering Research Centre for Nuclear Power Plant Safety and Reliability.Published more than 100 papers,including more than 50 papers in the SCI/EI, and applied for/granted more than 30 invention patents.


Research

  • Electromechanical equipment/system health monitoring and intelligent maintenance technology

  • Mechanical equipment early warning and intelligent fault diagnostic technology

  • Mechanical equipment remaining useful life prediction technology

  • Pattern recognition and defect detection based on the machine vision


Teaching

Teaching

Postgraduates

  1. Safety Monitoring and Testing Technique  

  2. Machine Condition Monitoring and Diagnosis

Funding

Funding

Vertical Project

Horizontal Project

  1.   The National Natural Science Foundation of China:Research on Key Technologies for Food Safety Risk Early Warning and Traceability

  2. The MIIT: The 2020 Industrial Internet Innovation Development Project: Edge Device Access System Project Based on the Industrial Internet Platform + Blockchain

  3.   The MIIT: The 2019 Industrial Internet Innovation and Development Project Edge Computing and Intelligent Module Project

  4.    The sub-project of the National Key R&D Programme: The Condition Assessment Technology of the PEM Electrolyzer

  5.   The sub-project of the National Key R&D Programme: The Typical Petrochemical Plant Dynamic Equipment Detection, Monitoring and Integrity Assessment Technology

  6.    The CHN ENERGY: The Water Wall Detection Technology Based on the Visual Intelligent Defect Recognition

  7.    The China Institute of Marine Technology & Economy: The System-Level Fault Detection and Health Management Node Software Development

  8.   The China Nuclear Power Engineering Corporation: The Remaining Useful Life Prediction Modeling Tool Development

Publications

  1.  Bo Ma; Few-shot Fault Diagnosis method of Rotating Machinery Using Novel MCGM Based CNN,IEEE Transactions on Industrial Informatics,2023

  2.   Bo Ma; Feature enhancement method of rolling bearing acoustic signal based on RLS-RSSD, Measurement, 2022,192

  3.  Bo Ma; A Novel Probability Confidence CNN Model and Its Application in Mechanical Fault Diagnosis,IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021,70

  4. Bo Ma; Yongming Han; Shiying Cui; Zhiqiang Geng; Hongda Li;Chong Chu; Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method, Food Control, 2020, 108: 1-10.

  5. Weidong Cai; Bo Ma; Liu Zhang; Yongming Han; A pointer meter recognition method based on virtual sample generation technology,Measurement, 2020, 163: 1-15.

  6.  Yongming Han; Guofei Chen; Zhongkun Li; Zhiqiang Geng; Fang Li; Bo Ma; An asymmetric knowledge representation learning in manifold space,  Information Sciences, 2020, 531:1-12


Awards

Awards

Patent

Honor Reward

Admissions Information