Yibing Liu

ORCID: 0000-0001-9218-8108
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About
Contact & Profiles
Research Areas
  • Machine Fault Diagnosis Techniques
  • Gear and Bearing Dynamics Analysis
  • Advanced Algorithms and Applications
  • Fault Detection and Control Systems
  • Structural Health Monitoring Techniques
  • Magnetic Bearings and Levitation Dynamics
  • Vibration and Dynamic Analysis
  • Tribology and Lubrication Engineering
  • Carbon and Quantum Dots Applications
  • Icing and De-icing Technologies
  • Advanced Sensor and Control Systems
  • Wind Turbine Control Systems
  • Mechanical Failure Analysis and Simulation
  • Energy Load and Power Forecasting
  • Industrial Technology and Control Systems
  • Mycobacterium research and diagnosis
  • Advanced Nanomaterials in Catalysis
  • Power Systems and Renewable Energy
  • Milk Quality and Mastitis in Dairy Cows
  • Blind Source Separation Techniques
  • Advanced Computational Techniques and Applications
  • Nanocluster Synthesis and Applications
  • Engineering Diagnostics and Reliability
  • Advanced biosensing and bioanalysis techniques
  • Microgrid Control and Optimization

Jilin University
2019-2025

Jilin Province Science and Technology Department
2025

North China Electric Power University
2015-2024

Changchun University of Technology
2024

Ocean University of China
2024

Huazhong University of Science and Technology
2022-2023

Ministry of Education
2022-2023

Qingdao University of Science and Technology
2022-2023

China Academy of Engineering Physics
2023

Xinjiang Institute of Materia Medica
2022-2023

This paper presents a fully distributed reactive power optimization algorithm that can obtain the global optimum solution of nonconvex problems for distribution networks (DNs) without requiring central coordinator. Second-order conic relaxation is used to achieve exact convexification. A second-order cone programming solver (D-SOCP) formulated corresponding given division areas based on alternating direction method multipliers (ADMM) algorithm, which greatly simplified by exploiting...

10.1109/tsg.2015.2396493 article EN IEEE Transactions on Smart Grid 2015-01-01

Main observation and conclusion With the rapid development of wearable electronics, flexible supercapacitor with high energy density has attracted more attentions. From viewpoint outdoor underwater application, this research tried to impart superhydrophobicity supercapacitors. The polyvinyl alcohol/HNO 3 hydrogel was utilized as electrolyte, which could achieve self‐healing capability without freezing/thawing process. Both microscale graphene nanoscale carbon nanotubes were electrode...

10.1002/cjoc.202000543 article EN Chinese Journal of Chemistry 2020-12-14

Purpose Colorectal cancer (CRC) is the third most frequently diagnosed and this study aimed to develop a conatumumab decorated, irinotecan prodrug quercetin co-loaded delivery system for combined targeted colorectal treatment.Methods A (C) (I-p) (Q) co-encapsulated NLC (C I-p/Q NLC) was developed. In vitro in vivo antitumor efficiency of evaluated on CRC cells mice xenograft.Results The results showed that HT-29 uptake C over 70%. Reactive oxygen species (ROS) sensitive formulation improved...

10.1080/10717544.2022.2027573 article EN cc-by-nc Drug Delivery 2022-01-20

Distributed generators can be integrated in geographically distributed areas and microgrids of active distribution networks (ADNs), operate independently. On the basis alternating direction method multipliers, authors describe an efficient fully algorithm to solve multi-area economic dispatch problems ADNs without requiring a central coordinator. The physical interpretation proof for its convergence are both given. Network losses taken into account by exploiting features ADNs. Two other...

10.1049/iet-gtd.2014.0904 article EN IET Generation Transmission & Distribution 2015-04-09

Predicting the remaining useful life (RUL) of critical subassemblies can provide an advanced maintenance strategy for wind turbines installed in remote regions. This paper proposes a novel prognostic approach to predict RUL bearings turbine gearbox. An artificial neural network (NN) is used train data-driven models and short-term tendencies feature series. By combining predicted training features, polynomial curve reflecting long-term degradation process fitted. Through solving intersection...

10.3390/en10010032 article EN cc-by Energies 2016-12-31

Optical logic gates call for materials with giant optical nonlinearity to break the current performance bottleneck. Metal–organic frameworks (MOFs) provide an intriguing route achieve superior benefitting from structural diversity and design flexibility. However, potential of MOFs optoelectronics has been largely overlooked their applications in have not exploited. Here, through temporally manipulating nonlinear absorption process porphyrin-based MOFs, we successfully developed AND XOR...

10.34133/ultrafastscience.0030 article EN cc-by Ultrafast Science 2023-01-01

Incipient fault detection of wind turbines is beneficial for making maintenance strategy and avoiding catastrophic result in a farm. A deep neural network (DNN)‐based approach proposed to deal with the challenging task direct drive turbine, involving four steps: preprocessing method considering operational mechanism presented get rid outliers supervisory control data acquisition (SCADA); conventional random forest used evaluate importance variables related target variable; historical healthy...

10.1049/iet-rpg.2017.0867 article EN IET Renewable Power Generation 2018-05-16

Transmission towers are structurally complex, which makes it challenging to choose the right place and number of sensors for health monitoring. In this paper, optimal sensor placement a cat-head-type transmission tower is conducted by using Effective Independent Method (EIM) method proposed calculating minimum structural monitoring combining EIM Modal Assurance Criterion (MAC). The prescribed in paper derives curve that shows relationship between MAC value sensors. It found decreases with...

10.1155/2020/2375947 article EN cc-by Shock and Vibration 2020-12-28

Alkaline phosphatase (ALP) is widely present in the human body and an important biomarker. Numerous ALP detection studies have been carried out, ascorbic acid (AA) often used as reducing component sensors to monitor levels since it can be produced from 2-phosphate (AA2P) hydrolysis presence of ALP. However, well-known that AA a strong agent easily oxidized. The disproportion between oxidized reduced reactions results generation free radicals with single electrons may lead inaccurate assays....

10.1021/acs.analchem.2c05098 article EN Analytical Chemistry 2023-01-30

The conventional method of detecting a gear fault is to demodulate the vibration signal collected from gearbox based on Hilbert transform; however, this requires human intervention and lacks sophistication. Empirical mode decomposition (EMD) significant timefrequency tool for adaptively decomposing signals into collection intrinsic functions (IMFs); feature can be extracted one IMFs reveal location level or bearing in mechanical drive system. In paper, multi-harmonic model with modulation...

10.5545/sv-jme.2013.1295 article EN cc-by Strojniški vestnik – Journal of Mechanical Engineering 2013-10-14

A nonlinear coupled dynamic model of a rod fastening rotor under rub-impact and initial permanent deflection was developed in this paper. The governing motion equation derived by the D’Alembert principle considering contact characteristic between disks, oil-film force, unbalance mass, etc. effects disks modeled as flexural spring with cubical stiffness. phenomena bearing system were investigated fourth-order Runge-Kutta method. Bifurcation diagram, vibration waveform, frequency spectrum,...

10.3390/en9110883 article EN Energies 2016-10-28
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