Article
Mechanics
Songyong Liu, Song Cui, Hongsheng Li, Fangyue Zhou, Baolong Xu, Yang Hu
Summary: This study investigated the effects of slurry properties and working parameters on rock cutting performance by abrasive slurry jets (ASJ) and analyzed the cutting resistance and specific energy (SE) of rock breaking using a conical pick assisted with ASJ. The results showed that nonionic PAM as an additive had a better cutting depth, which increased with the increase of PAM molecular weight and concentration. The cutting depth of rock increased with jet pressure but decreased with target distance and transverse velocity. The mean cutting resistance of the pick increased with traverse velocity, while the SE first decreased and then increased. The mean cutting resistance and SE decreased with jet pressure.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Shaofeng Wang, Xinlei Shi, Yumeng Wu
Summary: This study investigates the influence of confining stress on rock breakage during linear cutting processes. A 2D discrete element numerical model is developed to simulate the cutting process using a conical pick. The model considers different levels of confining stress and analyzes the variations in cutter force, crack extension, particle displacement, velocity variations, and internal stress. The results show that confining stress facilitates crack propagation and expansion and that higher confining stress leads to a decrease in radial crack expansion. Regression analyses reveal that average cutting force and specific energy for rock breakage initially increase and then decrease with increasing confining stress.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Engineering, Electrical & Electronic
Zhiwen Wang, Qingliang Zeng, Lirong Wan, Zhenguo Lu, Hongbin Wang
Summary: A numerical simulation model and software for conical pick rock cutting were established to analyze the influence of cutting parameters on cutting force and rock damage. The research results showed that cutting angle and speed affect the average peak cutting force, and the distance between double conical picks affects the average peak cutting force of the second pick. There is a positive correlation between rock damage, rock breaking volume, and cutting force.
Article
Education, Scientific Disciplines
Qingliang Zeng, Zhiwen Wang, Zhenguo Lu, Lirong Wan, Zhihai Liu, Xin Zhang
Summary: The research found that the width and depth of rock damage increase with increasing cutting depth and speed; the average peak cutting force and specific cutting energy show the same changing trend; while the conical pick fatigue life and stress exhibit an opposite relationship.
Article
Education, Scientific Disciplines
Qingliang Zeng, Zhiwen Wang, Zhenguo Lu, Lirong Wan, Zhihai Liu, Xin Zhang
Summary: The study shows that with increasing cutting depth and speed, the width and depth of rock damage increase, while the average peak cutting force and specific cutting energy have similar trends. The fatigue life of the conical pick and conical pick stress have an opposite relationship. The optimal cutting angle for cutting rock with the conical pick is 45 degrees.
Article
Engineering, Geological
Haoteng Wang, Mingming He, Jianbin Zhao, Yonghao Zhang, Beibei Yang
Summary: This study proposes a new method for evaluating rock brittleness using a digital drilling approach, which includes a cutting model to describe the relationship between energy characteristics and mechanical parameters. A drilling-based index, the brittleness evaluation index (BEI), was developed based on energy dissipation. Drilling tests were conducted to investigate energy evolution, and the results indicated a linear correlation between cutting energy and rock strength parameters. Our proposed method provides a reliable evaluation of rock brittleness compared to the laboratory-determined brittleness index.
ENGINEERING GEOLOGY
(2023)
Article
Mining & Mineral Processing
E. A. Averin, A. B. Zhabin, A. Polyakov, Yu N. Linnik, V. Yu Linnik
Summary: The recommendations suggest using conical pick patterns and analyzing load variations to detect pick failures promptly. The theoretical calculations show that when a pick fails, the relative increase in feed force is not higher than the relative increase in cutting force due to changes in rock strength and burden.
JOURNAL OF MINING SCIENCE
(2021)
Article
Engineering, Environmental
Yudhidya Wicaksana, Hoyoung Jeong, Seokwon Jeon
Summary: This study investigates the mechanical cutting issue from a dynamic perspective, revealing the characteristics of rock under dynamic loading and designing experiments to validate dynamic mechanical properties. The research demonstrates that dynamic inputs in numerical simulations of pick cutting provide more accurate results compared to quasi-static inputs, offering a unique approach to evaluating mechanical excavation problems in rock dynamics.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Energy & Fuels
Yang Li, Zhijie Chen, Yiheng Ye, Yingxin Yang
Summary: The paper presents a combined finite-discrete element method for simulating the interaction between single PDC cutter and brittle rock, which shows high accuracy especially before rock failure. The wedging effect is significant for brittle rock cutting, leading to the formation of large size chippings.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Education, Scientific Disciplines
Zhenguo Lu, Hongbin Wang, Qingliang Zeng, Zhiwen Wang, Lirong Wan, Changjiang Li
Summary: The cutting performance of conical pick and rock plate breaking were investigated using theoretical and experimental methods. The study found that the fracture of the rock plate mainly occurs on the constrained side and center, and the cutting force is significantly affected by factors such as plate thickness, cutting point depth, and rock uniaxial compressive strength.
Article
Energy & Fuels
Shaofeng Wang, Licheng Sun, Xibing Li, Jian Zhou, Kun Du, Shanyong Wang, Manoj Khandelwal
Summary: This paper investigates the influence of stress conditions on hard rock cuttability and proposes a theoretical model to analyze the peak cutting force (PCF) and associated factors. Experimental results and regression analyses show that rock cuttability decreases and then increases with the increase of uniaxial lateral stresses. The theoretical model, based on elastic fracture mechanics theory, accurately predicts the PCF. Finally, rock fragmentation using conical picks is successfully applied in the field mining stope to improve ore-rock cuttability by inducing high geostresses.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Engineering, Geological
Du-Min Kuang, Zhi-Lin Long, Ikechukwu Ogwu, Zhuo Chen
Summary: The study proposed a particle breakage simulation approach based on the discrete element method framework, modeling the variability of particle breakage strength with the invertible function method to avoid local stress generation and non-conservation of mass and volume, and eliminating the need for a predefined fragmentation mode.
Article
Engineering, Mechanical
Qiuxia Fan, Chongxue Chen, Qianqian Zhang, Guirong Liu
Summary: This paper proposes a smooth finite element method to improve the wear resistance of rock picks, providing accurate and reliable dynamic analysis. By using experimentally measured forces and smoothing operations, a numerical model is established to simulate the performance of conical picks under dynamic forces. The proposed method has the advantages of high accuracy and efficiency, making it a useful numerical tool for investigating the effects of dynamic forces on the performance of rock picks.
Article
Engineering, Geological
Qi-wen Lin, Qian-Gong Cheng, Yu Xie, Feng-shou Zhang, Kun Li, Yu-feng Wang, Yuan-yuan Zhou
Summary: This paper conducts a series of DEM simulations to replicate laboratory experiments of rockslides, showing that the DEM model provides comparable estimates with experiments in terms of kinetic features and depositional characteristics. However, the model poorly represents the normalized horizontal runout and degree of fragmentation.
Review
Metallurgy & Metallurgical Engineering
A. D. Kalogeropoulos, T. N. Michalakopoulos
Summary: This paper presents a numerical simulation of rock cutting laboratory tests using the discrete element method. The objective is to calibrate numerical models systematically, and the calibrated models are evaluated against actual cutting tests. The calibrated models showed good qualitative matching and underestimated the mean cutting force by approximately 3%. The study concludes that well-calibrated numerical simulations can provide a better understanding of the cutting process and quantitative data on cutting force and energy requirements.
MINING METALLURGY & EXPLORATION
(2023)
Article
Computer Science, Interdisciplinary Applications
S. Z. Feng, Y. C. Guo, Grzegorz Krolczyk, Xu Han, Atilla Incecik, Zhixiong Li
Summary: A computational approach is developed for multi-physics modelling of IGBT module, considering the coupling effect between electrical, thermal, and mechanical fields. The approach utilizes tetrahedral elements to construct an efficient IGBT model using the finite element method. The results demonstrate that the proposed approach achieves higher accuracy, convergence, and computing efficiency compared to popular methods, providing an efficient tool for the IGBT multi-physics coupling problem.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Mechanics
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin
Summary: This paper investigates the application potential of origami metamaterials in advanced deployable mechanisms, intelligent robots, and energy absorption devices. It embeds flexible joints with metamaterial properties into the origami metamaterial structure, enabling simultaneous geometric nonlinearity and joint stiffness nonlinearity. The nonlinear stiffness characteristics of this composite metamaterial are examined in detail.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Electrical & Electronic
Xiaoqiang Guo, Xinhua Liu, Xu Zhang, Grzegorz M. Krolczyk, Paolo Gardoni, Zhixiong Li
Summary: The powerful belt conveyor is crucial for coal mining transportation, and its stable operation is essential for efficiency. Machine vision-based damage detection systems are widely studied and deployed, but capturing high-quality images in the harsh underground coal seam environment is difficult. To solve this issue, an image denoising and enhancement approach based on invertible neural network (INN) is proposed. The proposed model, called denoising INN (DeINN), demonstrates excellent image denoising ability and outperforms existing methods.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Mechanical
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin, Hongzhao Lin
Summary: Inspired by the nonlinearity of origami cartons, a novel origami-inspired constant-force mechanism (OriCFM) is proposed. It adds equivalent springs at horizontal and oblique creases of the rigid origami mechanism to achieve a stable constant force output. The mechanical model is established based on geometric relationships, and the influence of structural parameters and spring stiffness on the constant force characteristic of the OriCFM is analyzed. Experimental results demonstrate the feasibility and effectiveness of the proposed mechanism.
MECHANISM AND MACHINE THEORY
(2023)
Article
Engineering, Multidisciplinary
Jiaxuan Leng, Paolo Gardoni, Mengmeng Wang, Zhixiong Li, Grzegorz Krolczyk, Shizhe Feng, Atilla Incecik, Weihua Li
Summary: Structural health monitoring (SHM) is regarded as a useful tool for managing and reducing safety risks in offshore wind farms. The jacket structures of offshore wind turbines are susceptible to damages from corrosion and fatigue in complex offshore environments. Effective SHM on jacket structures can significantly reduce operation risk and costs.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Dezhi Jiang, Haoxian Yu, Zhihan Wang, Adam Glowacz, Grzegorz Krolczyk, Zhixiong Li
Summary: In order to reduce carbon emissions from marine engines, IMO has established EEDI and EEXI. Currently, the focus is on optimizing the heat transfer performance of exhaust gas boilers on new ships to reduce EEDI, but there is limited research on the EEXI index of existing ships. This study investigates the influence of engine exhaust temperature and flow rate on boiler heat transfer coefficients and optimizes it to achieve the required EEXI value.
Article
Engineering, Multidisciplinary
Mengyu Ji, Gaoliang Peng, Sijue Li, Wentao Huang, Weihua Li, Zhixiong Li
Summary: With the rapid development of artificial intelligence, various fault diagnosis methods based on deep neural networks have achieved great progress in mechanical system safety monitoring. However, the large redundancy and structure uncertainty of the fault diagnosis networks, as well as the challenge of deploying these networks on embedded platforms due to the large scales of network parameters, hinder the practical application of intelligent diagnosis algorithms. In this paper, an iterative automatic machine compression method called Iterative-AMC is proposed to address these issues. Experimental results demonstrate that the proposed method successfully compresses the scale of the original network and deploys the compressed fault diagnosis network on a small-scale FPGA chip.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Xiaoqiang Guo, Xinhua Liu, Paolo Gardoni, Adam Glowacz, Grzegorz Krolczyk, Atilla Incecik, Zhixiong Li
Summary: A novel conveyor belt damage detection method based on CenterNet is proposed in this paper, which utilizes a fusion of feature-wise and response-wise knowledge distillation to balance performance and network size. The Fused Channel-Spatial Attention is introduced to compress the latent feature maps efficiently, and Kullback-Leibler divergence is used to minimize the distribution distance between student and teacher networks. Experimental results show that the proposed lightweight object detection model achieves 92.53% mAP and 65.8 FPS. The proposed belt damage detection system demonstrates efficient and accurate detection of conveyor belt damages, indicating its high potential for deployment on end devices.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Lili Dai, Xu Zhang, Paolo Gardoni, He Lu, Xinhua Liu, Grzegorz Krolczyk, Zhixiong Li
Summary: To reduce safety accidents during coal mining, this paper proposes a large foreign object detection method based on machine vision. An adaptive weighted multi-scale Retinex (MSR) image enhancement algorithm is proposed to improve the image quality of the belt conveyor line. An improved multi-scale template matching algorithm is designed to screen and identify large foreign objects mixed in coals. The multi-layer perceptron (MLP) network optimized by the Gray Wolf algorithm is introduced for identification. Experimental results show that the identification accuracy reaches 98.8% for the large foreign objects. Furthermore, industrial field test is carried out in the Gaoyang coal mine, and the test results demonstrate that the identification accuracy of the proposed method is more than 95%. Hence, the proposed method meets the industrial detection requirements and can be used in practices for detecting large foreign objects.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Civil
Hai Wang, Le Tao, Yingfeng Cai, Long Chen, Yicheng Li, Miguel Angel Sotelo, Zhixiong Li
Summary: In this paper, a single-stage anchor-free 3-D object detector algorithm called CenterPoint-SE is proposed, which enhances the spatial perception ability of anchor-free detection networks based on CenterPoints. An efficient 3-D backbone network is constructed to extract fine-grained spatial geometric features, and a powerful spatial semantic feature fusion module called EF-Fusion is designed. Various improvements, including a lightweight IoU prediction branch and a foreground point segmentation auxiliary training branch, are added to enhance the algorithm's performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Industrial
Mengmeng Wang, Atilla Incecik, Shizhe Feng, M. K. Gupta, Grzegorz Krolczyk, Z. Li
Summary: A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed, which accurately calculates the modal responses and identifies the damage ratios of offshore jacket platforms. The framework consists of an OSP model and a damage identification model. The OSP model optimizes the sensor number/location using the multi-objective Lichtenberg algorithm (MOLA) to balance the sensor cost and modal calculation accuracy. The damage identification model uses the Markov Chain Monte Carlo (MCMC)-Bayesian method to calculate the structural damage ratios based on modal information obtained from sensory measurements, considering the uncertainties of structural parameters. The method is validated using an offshore jacket platform, demonstrating efficient identification of structural damage location and severity.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Multidisciplinary
Xinhua Liu, Peng Qi, Patrick Siarry, Dezheng Hua, Zhenjun Ma, Xiaoqiang Guo, Orest Kochan, Z. Li
Summary: This paper proposes an improved multiscale neural network method for face recognition in underground coal mining to address the issues of overstaffing and incomplete information. Experimental results show that the proposed method can accurately recognize miners in harsh environments.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Acoustics
Lai Peng, Dezheng Hua, Xinhua Liu, Darius Andriukaitis, Grzegorz Krolczyk, Zhixiong Li
Summary: An active fluid-film bearing lubricated with magnetorheological fluid (MRF) is proposed to address the problems of insufficient load capacity and rotor vibration. The study designs the geometry of the MRF fluid-film bearing, analyzes its intelligent lubrication mechanism, and verifies the method's validity through numerical simulation. The simulation results show that the MRF bearing has the ability to suppress rotor vibration and the IGWO-PID controller has better response characteristics than other algorithms.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Kuosheng Jiang, Chengsong Zhang, Baoliang Wei, Zhixiong Li, Orest Kochan
Summary: The operating conditions of RV reducer are complex and the fault signal sample is small. An improved DNCNN denoising algorithm is proposed to realize the failure mode recognition of RV reducer, and experimental analysis shows its effectiveness.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Baiyi Wang, Zipeng Zhang, Patrick Siarry, Xinhua Liu, Grzegorz Krolczyk, Dezheng Hua, Frantisek Brumercik, Z. Li
Summary: The African vultures optimization algorithm (AVOA) has some shortcomings in solving complex problems. To address these issues, a nonlinear African vulture optimization algorithm (HWEAVOA) is proposed, which outperforms other algorithms in terms of convergence speed, optimization ability, and solution stability, according to experimental results.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.