Yibo Ai

ORCID: 0000-0001-8931-4556
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About
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Research Areas
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Non-Destructive Testing Techniques
  • Fatigue and fracture mechanics
  • Gear and Bearing Dynamics Analysis
  • Ultrasonics and Acoustic Wave Propagation
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Machine Fault Diagnosis Techniques
  • Advanced Image and Video Retrieval Techniques
  • Corrosion Behavior and Inhibition
  • Industrial Technology and Control Systems
  • Material Properties and Failure Mechanisms
  • Structural Health Monitoring Techniques
  • Microstructure and Mechanical Properties of Steels
  • Advanced machining processes and optimization
  • Structural Integrity and Reliability Analysis
  • Advanced Sensor and Control Systems
  • Thermography and Photoacoustic Techniques
  • Vehicular Ad Hoc Networks (VANETs)
  • Advanced Measurement and Metrology Techniques
  • Innovative Energy Harvesting Technologies
  • Elevator Systems and Control
  • Image Processing and 3D Reconstruction
  • Anomaly Detection Techniques and Applications
  • Fire Detection and Safety Systems

University of Science and Technology Beijing
2013-2025

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2021-2024

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2021-2024

10.1007/s10489-020-01949-0 article EN Applied Intelligence 2020-11-11

Road power generation technology is of significance for constructing smart roads. With a high electromechanical conversion rate and bearing capacity, the stack piezoelectric transducer one most used structures in road energy harvesting to convert mechanical into electrical energy. To further improve efficiency this type harvester (PEH), study theoretically experimentally investigated influences connection mode, number layers, ratio height cross-sectional area units on performance. Two types...

10.3390/s21082876 article EN cc-by Sensors 2021-04-20

Aiming to alleviate traffic congestion, many congestion avoidance and optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has perform intensive communication computational tasks. Secondly unpredictability: use smartphones other sensors detect the congested roads warn upcoming vehicles accordingly. In words, are used solve problem rather than avoiding it. Lastly, infrastructure...

10.3390/s18082567 article EN cc-by Sensors 2018-08-06

With the increase of organic matter content in global water bodies, timely and accurate identification algae objects bodies is great significance for rapid treatment eutrophication.To improve performance seaweed microscopic image recognition model, an improved concave matching algorithm was designed applied to segmentation original images.In addition, IResNet with self-adjusting pooling layer designed.In this study, ResNet were used construct a model.The average Accuracy Precision proposed...

10.1109/access.2024.3375928 article EN cc-by-nc-nd IEEE Access 2024-01-01

Multi object tracking (MOT) is a key research technology in the environment sensing system of automatic driving, which very important to driving safety. Online multi needs accurately extend trajectory multiple objects without using future frame information, so it will face greater challenges. Most existing online MOT methods are anchor-based detectors, have many misdetections and missed detection problems, poor effect on extension adjacent when they occluded overlapped. In this paper, we...

10.3390/electronics10202479 article EN Electronics 2021-10-12

Structural materials damages are always in the form of micro-defects or cracks. Traditional conventional methods such as micro and macro examination, tensile, bend, impact hardness tests can be used to detect damage defects. However, these destructive nature not real-time, thus a non-destructive real-time monitoring characterization material is needed. This study focused on application acoustic emission (AE) method performance degradation high-strength aluminum alloy high-speed train gearbox...

10.3390/met5010228 article EN cc-by Metals 2015-02-13

The key material of high-speed train gearbox shells is high-strength aluminum alloy. Material damage inevitable in the process servicing. It great importance to study for in-service gearboxes train. Structural health monitoring methods have been widely used recent years. This focuses on application an acoustic emission (AE) method quantify tensile evolution First, a characteristic parameter was developed connect AE signals with damage. Second, quantification model presented based...

10.3390/met5042186 article EN cc-by Metals 2015-11-25

10.1007/s00170-018-2259-4 article EN The International Journal of Advanced Manufacturing Technology 2018-06-18

In operating conditions, real time non-destructive testing (NDT) is needed for the identification of tensile damage process high-speed train gearbox shell. This paper focuses on application an acoustic emission (AE) method to study damage. First, tests with AE monitoring were employed collect signals and data. Second, feature extraction was performed obtain vectors characterize Then, Support Vector Machines (SVM) Weighted (WSVM) used identify different stages material

10.1109/ieem.2016.7798203 article EN 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2016-12-01

The high-speed train gearbox is one of the key components system, and its working state related to passengers’ safety. shell protective for gears under harsh complex service environment. Instantaneous impact hard material during failure can lead rapid damage accumulation fracture material. In this article, tensile has been studied. For short process leading significant amount damage, a real-time non-destructive detection method used monitor progression predict residual life An automatic...

10.1177/1550147718781455 article EN cc-by International Journal of Distributed Sensor Networks 2018-06-01
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