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Advanced Machine Learning Methods for Prediction of Blast-Induced Flyrock Using Hybrid SVR Methods

Computer Modeling in Engineering & Sciences 2024年第8期140卷 1595-1617页

作者： Ji Zhou Yijun Lu Qiong Tian Haichuan Liu Mahdi Hasanipanah Jiandong Huang College of Civil and Environmental Engineering Hunan University of Science and EngineeringYongzhou425006China Hunan Provincial Key Laboratory of Intelligent Protection and Utilization Technology in Masonry Artifacts Hunan University of Science and EngineeringYongzhou425006China School of Civil Engineering Guangzhou UniversityGuangzhou510006China Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam School of Engineering&Technology Duy Tan UniversityDa Nang550000Vietnam

Blasting in surface mines aims to fragment rock masses to a proper ***,flyrock is an undesirable effect of blasting that can result in human *** this study,support vector regression(SVR)is combined with four algorithms:gravitational search algorithm(GSA),biogeography-based optimization(BBO),ant colony optimization(ACO),and whale optimization algorithm(WOA)for predicting flyrock in two surface mines in ***,three other methods,including artificial neural network(ANN),kernel extreme learning machine(KELM),and general regression neural network(GRNN),are employed,and their performances are compared to those of four hybrid SVR *** modeling,the measured and predicted flyrock values are validated with some performance indices,such as root mean squared error(RMSE).The results revealed that the SVR-WOA model has the most optimal accuracy,with an RMSE of 7.218,while the RMSEs of the KELM,GRNN,SVR-GSA,ANN,SVR-BBO,and SVR-ACO models are 10.668,10.867,15.305,15.661,16.239,and 18.228,***,combining WOA and SVR can be a valuable tool for accurately predicting flyrock distance in surface mines.

关键词： Flyrock induced by blasting optimization algorithms SVR GRNN

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Health Assessment of Split Torque Transmission System Using Improved Generative Adversarial Networks

Health Assessment of Split Torque Transmission System Using ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wang, Zhi Hu, Niaoqing Xu, Fujian Yang, Yi Hu, Lei Laboratory of Science and Technology on Integrated Logistics Support NUDT Changsha410073 China Beijing Tangzhi Technology Development Co. LTD Beijing100043 China AECC Hunan Aviation Powerplant Research Institute Zhuzhou412002 China Aero-Engine Vibration Technology in Aeronautical Science Key Laboratory Zhuzhou412002 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783031694820

Split-torque transmission system (STTS) is a new type of helicopter main rotor transmission. It has the characteristics of light quality, fewer transmission stages, high transmission efficiency, high reliability, low noise and so on. It is of great significance to carry out health detection and assessment for helicopter STTS. In order to solve the lack of fault data and priori knowledges, this paper proposes a framework for STTS anomaly detection and health assessment based on improved generative adversarial networks (IGAN). The framework is validated with fault simulation data of a STTS. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Generative adversarial networks

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Detection of fan blade defects by visible light and thermal infrared image fusion 23

Detection of fan blade defects by visible light and thermal ...

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Proceedings of the 2023 6th International Conference on Algorithms, Computing and Artificial Intelligence

作者： Minmin Ma Hao Liu Kecheng Tan Yuxin Gao Siyang Huang PowerChina Zhongnan Engineering Corporation Limited China and Hunan Province Key Laboratory of Hydropower Development Key Technology China

ISBN: (纸本)9798400709203

With the increasing proportion of wind energy in energy utilization, fan blade defects detection has become one of the important topics. At present, traditional object detection methods usually use visible light images and can only detect surface defects of fan blades, which cannot detect whether there are defects in the shallow interior of fan blades. In this paper, the defects of fan blades are detected by fusing visible light image and thermal infrared image information. We use a target detection model to detect defects in visible light and thermal infrared images of fan blades. Then fuse visible light and thermal infrared images using a self-attention based image fusion method. Finally, based on the image fusion results and detection decision strategies, the defect detection of fan blades is completed. The experimental results show that the method proposed in this paper achieves an accuracy of 94% for detecting defects in fan blades, and can detect a total of 8 types of internal and external defects in fan blades. The detection method in this article achieves cross validation of the detection results of fan blade defects, realizes the detection of shallow defects inside fan blades, improves the detection accuracy of fan blade faults, and can provide early warning for internal defects of fan blades, remind workers to repair them in a timely manner, and prevent further expansion of defects.

关键词： Defect detection

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A Review of Dynamic Analysis and Fault Diagnosis for Split-Torque Transmission System

A Review of Dynamic Analysis and Fault Diagnosis for Split-T...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Yang, Weixin Wang, Zhi Yin, Mei Hu, Lei Xu, Yuandong AECC Hunan Aviation Powerplant Research Institute Zhuzhou412002 China Aero-Engine Vibration Technology in Aeronautical Science Key Laboratory Zhuzhou412002 China Laboratory of Science and Technology on Integrated Logistics Support NUDT Changsha410073 China Beijing Tangzhi Technology Development Co. Ltd. Beijing100043 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783031694820

Split-torque transmission systems (STTS) of helicopters are designed as alternatives to traditional planetary gearboxes. STTS has the advantages of a large reduction ratio, lower energy losses, low noise levels from gear meshes, and high power density, etc. However, STTS has a more complex structure, more degrees of freedom, more complex external excitations and faults that are more difficult to diagnose. Therefore, research on the dynamics and fault diagnosis of STTS is of great significance to improve operational reliability. This paper reviews the current research status of STTS dynamic modelling and load sharing performance first, then the research on STTS fault diagnosis, followed by a summary of challenges and future research. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Epicyclic gears

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RUL Prediction of Split Torque Transmission System Using Particle Filtering and Degenerate Model

RUL Prediction of Split Torque Transmission System Using Par...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Yang, Weixin Wang, Zhi Tang, Xin Hu, Lei Xu, Yuandong AECC Hunan Aviation Powerplant Research Institute Zhuzhou412002 China Aero-Engine Vibration Technology in Aeronautical Science Key Laboratory Zhuzhou412002 China Laboratory of Science and Technology on Integrated Logistics Support NUDT Changsha410073 China Beijing Tangzhi Technology Development Co. LTD. Beijing100043 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783031694820

The split-torque transmission system (STTS) is considered to be the most likely alternative to a planetary gearbox for helicopter main rotor transmissions. SSTS has obvious advantages in reliability, weight, deceleration ratio, noise, and so on. The remaining useful life (RUL) prediction of STTS is of great significance to support the maintenance of helicopters and prevent them from failure. This paper designs a RUL prediction framework based on particle filtering and degenerate models. The prediction method of the degradation rate tracking particle filter (DRT-PF) eliminates the binding of the fitted model, and estimates and predicts the degradation process of the system by using the statistical law of the degradation rate of the historical data. The prediction framework is validated with simulation signals from a STTS fault model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Epicyclic gears

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Two-phase Fluid Solid Coupling Modeling: Theory, Numerical Model, and Application

Two-phase Fluid Solid Coupling Modeling: Theory, Numerical M...

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2023 International Conference on Computational and Mathematical Methods in Engineering, CMME 2023

作者： Zhao, Yanan Liu, Hao Jiang, Zhongming Zhao, Hongmin Mei, Songhua Power China Zhongnan Engineering Corporation Limited Changsha410019 China Hunan Province Key Laboratory of Hydropower Development Key Technology Changsha410019 China Changsha University of Science and Technology School of Hydraulic and Environmental Engineering Changsha410114 China

Underground compressed air energy storage (CAES) is seen as an important and promising way for balancing electrical power system. Many large-scale CAES projects (≥300 MW) are being planned in China, some of which have already been permitted for construction. Despite the benefits from CAES, some challenges arise in area of construction technology, operation system, maintenance and monitoring methods. One of the challenges lies in the evaluation of air leakage effect on flow and stress field around the underground cavern. Therefore, considering the actual physical field characteristics, the mathematical formula of mass conservation equations for air and water in porous media, as well as equilibrium equations for solid mechanics are established first and then coupled together for numerical solutions. The constitutive models for solid and porous fluid adopt classical elastic and Darcy's law respectively, while the air-water interaction adopts classical van-Genuchten model and contributes to solid mechanics by pore pressure. Numerical implementations are based on secondary development to COMSOL software. Then interpretations to simulation results and the comparison with results not taking damage effect into account are made. © Published under licence by IOP Publishing Ltd.

关键词： Numerical models

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PDGFRB mutation causes intracranial aneurysm

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Journal of Genetics and Genomics 2024年第9期51卷 978-981页

作者： Junyu Liu Chunling Wang Enyu Huang Luming Wang Chengchao Wu Weixi Jiang Mei Wu Xiuru Zhang Junxia Yan Yeqi Wang Jingjing Zhang Department of Neurosurgery XiangYa HospitalCentral South UniversityChangshaHunan 410008China Department of Pharmacology Kyoto University Graduate School of MedicineKyoto 606-8501Japan Key Laboratory for Biorheological Science and Technology of Ministry of Education College of BioengineeringChongqing UniversityChongqing 400044China Affiliated Hospital of Guangdong Medical University&Zhanjiang Key Laboratory of Zebrafish Model for Development and Disease Guangdong Medical UniversityZhanjiangGuangdong 524001China Department of Epidemiology and Health Statistics XiangYa School of Public HealthCentral South UniversityChangshaHunan 410006China Hunan Provincial Key Laboratory of Clinical Epidemiology XiangYa School of Public HealthCentral South UniversityChangshaHunan 410006China

Intracranial aneurysm(IA)is characterized by defects in the middle muscular layer and pathological dilatation of cerebral *** rupture of IA,resulting in aneurysmal subarachnoid hemorrhage,poses a substantial public health problem,especially in developed countries,due to its high mortality,morbidity,and socioeconomic burden(Bakker and Ruigrok,2021).Understanding the risk factors for IA is critical for disease *** numerous studies(Yan et al.,2015;Santiago-Sim et al.,2016;Barak et al.,2021;Liu et al.,2021)have highlighted familial aggregation of IA and identified candidate genes such as ADAMTS15,THSD1,ANK3,and PPIL4,the mechanisms underlying IA formation and rupture remain unclear.

关键词： aneurysm rupture

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Effect of particle micro-structure on the electrochemical properties of LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) cathode material

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International Journal of Minerals,Metallurgy and Materials 2022年第8期29卷 1618-1626页

作者： Zexun Tang Hongqi Ye Xin Ma Kai Han Hunan Provincial Key Laboratory of Efficient and Clean Utilization of Manganese Resources College of Chemistry and Chemical EngineeringCentral South UniversityChangsha 410083China Cathode Material Research&Development Department Soundon New Energy Technology Co.Ltd.Xiangtan 411100China

Ni-rich layered material is a kind of high-capacity cathode to meet the requirement of electric *** for the typical LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) material,the particle formation is significant for electrochemical properties of the *** this work,the structure,morphology,and electrochemical performance of LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) secondary particles and single crystals were systematically studied.A lower Ni^(2+)/Ni^(3+)molar ratio of 0.66 and a lower residual alkali content of 0.228wt%were achieved on the surface of the single *** addition,the single crystals showed a discharge capacity of 191.6 mAh/g at 0.2 C(~12 mAh/g lower than that of the secondary particles)and enhanced the electrochemical stability,especially when cycled at 50℃ and in a wider electrochemical window(between 3.0 and 4.4 V ***+/Li).The LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) secondary particles were suitable for applications requiring high specific capacity,whereas single crystals exhibited better stability,indicating that they are more suitable for use in long life requested devices.

关键词： Ni-rich layered materials single crystal cathode micro-structure lithium-ion battery

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development of a Spr Sensor Based on Bifunctional Magnetic Molecular Imprinted Polymers Nanoparticles for the Highly Sensitive Analysis Of 6-Benzylaminopurine

SSRN

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SSRN 2024年

作者： Xiong, Yingzi Cao, Yanan Li, Maiquan Wang, Ruozhong Xiao, Langtao Liu, Xia College of Food Science and Technology Hunan Provincial Key Laboratory of Food Science and Biotechnology Hunan Agricultural University Changsha410128 China Hunan Provincial Key Laboratory of Phytohormones and Growth Development College of Bioscience and Biotechnology Hunan Agricultural University Changsha410128 China

A selective and sensitive analytical method based on Surface Plasmon Resonance (SPR) sensors coupled magnetic molecular imprinted polymers nanoparticles (MMIPs NPs) was developed and validated for the determination of 6-benzylaminopurine (6-BA) in mung bean sprouts, soy bean sprouts, cucumber and tomato. MMIPs NPs were synthesized by precipitation polymerization using methacrylic acid (MAA) and sodium p-styrene sulfonate (SSS) as functional monomers. The SPR response exhibited a linearity dependence on concentrations of 6-BA from 5-300 pg/mL, with a low detection limit of 2.79 pg/mL. The recovery of the established method was between 80.70 % and 99.74 % for the four vegetables with a coefficient of variation of less than 8.36 %. Compared with the structural analogues and non-analogues of 6-BA, MAA/SSS-MMIPs NPs showed good selectivity to 6-BA. It is hoped that this method can be used to detect 6-BA in more vegetables. © 2024, The Authors. All rights reserved.

关键词： Surface plasmon resonance

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A Numerical Investigation of the Reduction of Solitary Wave Runup by A Row of Vertical Slotted Piles

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China Ocean Engineering 2020年第1期34卷 10-20页

作者： YAO Yu JIA Mei-jun MAO Da-wei DENG Zheng-zhi LIU Xiao-jian School of Hydraulic Engineering Changsha University of Science and TechnologyChangsha410114China Hunan Provincial Key Laboratory of Key Technology on Hydropower Development Changsha 410014China Ocean College Zhejiang UniversityZhoushan 316021China Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province Changsha 410114China

To improve the current understanding of the reduction of tsunami-like solitary wave runup by the pile breakwater on a sloping beach, we developed a 3D numerical wave tank based on the CFD tool OpenFOAM in this study. The Navier Stokes equations were applied to solve the two-phase incompressible flow, combined with an LES model to solve the turbulence and a VOF method to capture the free surface. The adopted model was firstly validated with existing empirical formulas for solitary wave runup on the slope without the pile structure. It is then validated using our new laboratory observations of the free surface elevation, the velocity and the pressure around a row of vertical slotted piles subjected to solitary waves, as well as the wave runup on the slope behind the piles. Subsequently, a set of numerical simulations were implemented to analyze the wave reflection, the wave transmission, and the shoreline runup with various offshore wave heights, offshore water depths, adjacent pile spaces and beach slopes. Finally, an improved empirical equation accounting for the maximum wave runup on the slope was proposed by taking the presence of the pile breakwater into consideration.

关键词： Wave runup solitary wave slotted piles Navier Stokes equations

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