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Engineering and Technology

D-Index
53
Citations
11102
World Ranking
3388
National Ranking
687

Overview

Baoping Cai is affiliated with the China University of Petroleum in Beijing, China. Their research primarily spans the field of Engineering, with a focus on Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Ocean Engineering, and Mechanics of Materials.

Their academic output includes work on various topics such as:

  • Risk and Safety Analysis
  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Engineering Diagnostics and Reliability
  • Oil and Gas Production Techniques
  • Reliability and Maintenance Optimization
  • Occupational Health and Safety Research

Baoping Cai has contributed to a number of publications, frequently collaborating with scholars such as Liu Y, Zengkai Liu, Xiaoyan Shao, Yiliu Liu, and Xiangdi Kong.

The scholar's work appears predominantly in venues including:

  • Ocean Engineering
  • Reliability Engineering & System Safety
  • Expert Systems with Applications
  • SSRN Electronic Journal
  • Mechanical Systems and Signal Processing

Notable recent publications by Baoping Cai include:

  • Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework, 2022, Advanced Engineering Informatics
  • Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation, 2023, IEEE Transactions on Industrial Informatics
  • Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network, 2023, Mechanical Systems and Signal Processing
  • Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images, 2022, IEEE Transactions on Systems Man and Cybernetics Systems
  • Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals, 2023, Expert Systems with Applications

Best Publications

  • Bayesian Networks in Fault Diagnosis

    Baoping Cai;Lei Huang;Min Xie

  • A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems

    Baoping Cai;Yubin Zhao;Hanlin Liu;Min Xie

  • Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

    Unknown

  • Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network

    Baoping Cai;Yonghong Liu;Qian Fan;Yunwei Zhang

  • Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation

    Unknown

  • Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images

    Unknown

  • A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks

    Baoping Cai;Baoping Cai;Hanlin Liu;Min Xie

  • Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network

    Unknown

  • Availability-Based Engineering Resilience Metric and Its Corresponding Evaluation Methodology

    Baoping Cai;Baoping Cai;Min Xie;Yonghong Liu;Yiliu Liu

  • Application of Bayesian Networks in Reliability Evaluation

    Baoping Cai;Xiangdi Kong;Yonghong Liu;Jing Lin

  • A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

    Baoping Cai;Yu Liu;Min Xie

  • Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals

    Unknown

  • Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study

    Baoping Cai;Xiaoyan Shao;Yonghong Liu;Xiangdi Kong

  • Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information

    Unknown

  • Study of the recast layer of a surface machined by sinking electrical discharge machining using water-in-oil emulsion as dielectric

    Yanzhen Zhang;Yonghong Liu;Renjie Ji;Baoping Cai

  • Using Bayesian networks in reliability evaluation for subsea blowout preventer control system

    Baoping Cai;Yonghong Liu;Zengkai Liu;Xiaojie Tian

  • Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data

    Unknown

  • Optimal sensor placement methodology of hydraulic control system for fault diagnosis

    Unknown

  • A dynamic Bayesian networks modeling of human factors on offshore blowouts

    Baoping Cai;Yonghong Liu;Yunwei Zhang;Qian Fan

  • Application of Bayesian networks in quantitative risk assessment of subsea blowout preventer operations.

    Baoping Cai;Yonghong Liu;Zengkai Liu;Xiaojie Tian

  • Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study

    Baoping Cai;Hongyan Fan;Xiaoyan Shao;Yonghong Liu

  • Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance

    Baoping Cai;Yanping Zhang;Haifeng Wang;Yonghong Liu

  • An experimental study of crevice corrosion behaviour of 316L stainless steel in artificial seawater

    Baoping Cai;Yonghong Liu;Xiaojie Tian;Fei Wang

  • Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

    Baoping Cai;Keke Hao;Zhengda Wang;Chao Yang

  • Dynamic Bayesian networks based approach for risk analysis of subsea wellhead fatigue failure during service life

    Yuanjiang Chang;Xiangfei Wu;Changshuai Zhang;Guoming Chen

  • A Fusion CWSMM-based Framework for Rotating Machinery Fault Diagnosis under Strong Interference and Imbalanced Case

    Xin Li;Jian Cheng;Haidong Shao;Kan Liu

  • Dynamic Bayesian networks based performance evaluation of subsea blowout preventers in presence of imperfect repair

    Baoping Cai;Yonghong Liu;Yunwei Zhang;Qian Fan

  • Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

    Zengkai Liu;Yonghong Liu;Baoping Cai;Dawei Zhang

Frequent Co-Authors

Yonghong Liu
Yonghong Liu China University of Petroleum, Beijing
Renjie Ji
Renjie Ji China University of Petroleum, Beijing
Min Xie
Min Xie City University of Hong Kong
Jing Lin
Jing Lin Shenzhen University
Faisal Khan
Faisal Khan Texas A&M University
Suet To
Suet To Hong Kong Polytechnic University
Haidong Shao
Haidong Shao Hunan University
Qilin Wang
Qilin Wang University of Technology Sydney
Rouzbeh Abbassi
Rouzbeh Abbassi Macquarie University

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