bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rolling bearing fault diagnosis method based on dynamic convolution capsule network
Authors: Yang Aoyu , Zhong Zhidan , Zhao Yao , Zhang Zhihui 
Published: January 2023

Abstract
Aiming at the weak generalization ability of traditional rolling bearing fault diagnosis methods, a rolling bearing diagnosis method based on dynamic convolutional capsule networks (DC-CapNets) was proposed. First, one-dimensional vibration signals are preprocessed and divided into a training set and a test set. Then the fast Fourier transform (FFT) is used to convert the training set and the test set. In this model, two dynamic convolution layers and pooling layers are used to extract the features of the input frequency signals, and the feature information is transmitted to the capsule network to obtain the diagnosis results. The CWRU (Western Reserve University) data set validation shows that the proposed method still has high fault diagnosis accuracy under noise and variable load conditions, and has good anti-noise and generalization performance, which is superior to the convolutional neural network (CNN) and deep neural network (DNN).
Technology and Practice of Automatic Verification of Electric (Thermal) Instrument
Authors: Cao De-kun , Wang Shao-ran , Liu Yan-wen , Ni Hong-wei , Liu Shuai 
Published: January 2023

Abstract
To meet the need for peak regulating, large unit sets have put forward new and higher requirements for a thermal automatic control system, and the degree of automation has become an important symbol to measure the level of modernization of enterprises. In industrial production, the automatic verification technology of thermal measurement is becoming more and more mature and plays an important role in the industry. The automatic verification technology of thermal metrology is the manifestation of the development of automation, and it has also improved in the aspect of testing equipment. The use of automatic verification technology in thermal measurement can not only improve work efficiency but also reduce labor costs, which provides a basic guarantee for safe and reliable operations of equipment.
Unsupervised Learning Based Soil-film Recognition System for Electric Film Uncovering Machine
Authors: Ren Zhenyu , He Peixiang , Wang Jianping , Sun Yuhong 
Published: January 2023

Abstract
To reduce the damage to the edge film of the soil ridge during the uncovering process of the film uncovering machine, the soil-film recognition system of the film uncovering machine is designed in this paper. Firstly, the overall structure and working principle of the electric film uncovering machine are analyzed. Then the aberration correction of the camera of the machine is performed. Subsequently, multiple processing methods for field soil-film images are compared and analyzed. The image segmentation method most suitable for this system is determined to be the K-means++ method. The acquired images are also filtered and noise is reduced, and the contour information of the film is finally extracted and identified. The range of feature values of the experimentally measured images is area 4500~20,000 mm2, area share 4%~22%, and perimeter 250~950mm. When the three conditions are satisfied at the same time, it is a soil-film image. The system is combined with the experimental film uncovering machine in the soil consolidation state. The average film recognition rate of the system is greater than 95%. At the same time, the damage rate of the film is below 5%, and the soil removal rate on the side film reaches 82%.
Multi-index joint node selection protocol in UAV ad hoc network
Authors: Liang Jingyuan , Zhang Chuanbin , Dang Shuai , Wu Pengfei 
Published: January 2023

Abstract
In the application scenario of a UAV ad hoc network, aiming at the problems of low packet forwarding success rate and premature death of some nodes in greedy perimeter stateless routing (GPSR) protocol, a multi-index joint node selection-GPSR protocol (MT-GPSR) is proposed. Based on greedy forwarding, MT-GPSR protocol comprehensively considers the link holding time of adjacent nodes, the residual energy of adjacent nodes, and the node degree to jointly select the next hop node, and proposes an AHP maximum entropy criterion weighting algorithm, which reasonably weights the node index value, adds the weighted index values to obtain the selection priority value, and selects the neighbor node whose priority value is the best under the weighting condition as the next hop node for data forwarding, so as to improve the efficiency of data forwarding. At the same time, the network life is prolonged. The simulation results show that compared with the GPSR algorithm and GPSR-NMP algorithm, this algorithm ensures stable communication between UAVs, improves the network communication quality, and improves the network lifetime.
Error Correction Method of Transformer Harmonic Detection Based on the Improved BP Neural Network
Authors: Dai Chen , Zhuang Gewei , Wang Jin , Chen Daihu , Gu Zhen 
Published: January 2023

Abstract
In the case that the harmonic problem has threatened the safe operation of user equipment, the requirements of power quality are constantly improving, and the error correction method of harmonic detection has become a key concern in the field of power. Due to the complexity of the power structure, some of the transformer harmonic detection error correction methods have the defect of too large an error. In this demand, a transformer harmonic detection error correction method based on an improved BP neural network is designed. The open-circuit mode of the damper is converted into the connected mode, and the key parameters of the transformer are obtained. Based on the improved BP neural network, the harmonic voltage content is extracted, and the transfer relationship between the currents is obtained. The reverse propagation path of the fault component is clarified, and the detection error correction method is designed. The experimental results show that the average error rate of the error correction method of transformer harmonic detection is 37. 437%, which proves that it has more advantages in accuracy after combining with the improved BP neural network. The research results not only have high academic value but also help improve the user’s electricity experience.
Near Surface Layer Meteorological Observation System Based on Programmable Unmanned Aerial Vehicles
Authors: Peng Jiakai , Lu Jun , Yang Hong , Liang Lei , Tang Ran , Zhang Wei , Zhao Min 
Published: January 2023

Abstract
With the rapid development of UAV (Unmanned Aerial Vehicle) technology, to give full play to the spatial flexibility of multi-rotor UAV, this paper designs and develops a programmable UAV-based near-surface layer meteorological observation system to achieve the measurement of meteorological data such as temperature, humidity, air pressure, wind, wind direction and particle concentration in the near-surface layer environment. The data obtained from the measurements are accurate and reliable, and have positive implications for scientific research in meteorology. The system makes good use of the portability and intelligence of the UAV, and can work in different environments and adapt well to all kinds of weather. In addition, the use of a microcontroller realizes the real-time transmission of detection data and ensures the timeliness and reliability of the data. And the ground station can also monitor and intelligently control the whole process of the UAV and complete a variety of different tasks.
Analysis of Multi-Robot Patrolling Algorithms
Authors: Li Xiang , Ma Yuxuan 
Published: January 2023

Abstract
This article is dedicated to analyzing the common problems of robots when patrolling indoors and the corresponding solution algorithms. In the article, four problems of patrol robots (whether centralized or non-centralized) during operation are listed: the overload of data to be processed when the robotic sensors are transmitting the data, the repetitiveness and simultaneity of the robot work, the incorrect execution of the algorithm and how to deal with the inevitable unknown external factors. The simultaneity of the robots is to be eliminated because robots need to explore independently in the patrol task. Subsequently, four algorithms and functionalities are introduced (Monte Carlo Tree Planning Algorithm, Rapid Exploring Random Tree Planning, Mutual Exclusion Algorithm, and Kalman Filter Algorithm). The question of how the four algorithms address the corresponding factors will be illustrated by an elaboration of the process by which the algorithms solve the problem.
Structural and Passability Analysis of Dual Detection Mode Pipeline Robot
Authors: Yang Zhiqian , Xue Junfang , Li Weiguo 
Published: January 2023

Abstract
A new pipeline robot with a dual detection mode is built in order to address the issues with the current oil and gas pipeline inspection robots, such as single detection mode, small pipe diameter adaptation range, poor passing ability, and adaptability of the robots in pipelines. The general design of the robot is presented in this paper and the robot’s general construction and operation principles are discussed. The support system, which combines the main and auxiliary springs to achieve common preloading and force analysis, is organized to meet these goals. This paper designs the detection structure with an angle adjustable function. The robot’s motion and dimension restrictions through the bend pipe are examined concurrently. Experimental verification is then completed. The results of the experiments demonstrate that the robot’s structure design and calculations are reasonable, that the robot’s size and motion constraints analysis in the bend pipe is accurate, and that the robot can successfully pass the bend pipe with R ≥ 1.5D. The study’s findings serve as a guide for the development of prototype robots and subsequent robot simulation experiments.
An Adaptive Fault-Tolerant Control Algorithm for Underwater Vehicle Propulsion System
Authors: Jiang Jun , Li Bo Hao , Ding Meng Lei 
Published: January 2023

Abstract
Underwater navigation plays an important role in the exploration of current marine resources. But the underwater environment is complicated, traditional fault-tolerant control of the unmanned underwater vehicle has a high dependence on the accuracy of the dynamic model in the design of the control rate, which is difficult to deal with the uncertainty and external disturbance of this system. Therefore, an adaptive fault-tolerant control algorithm based on the residual drive is proposed. The motion state reference model is generated by BP neural network, and the residual between the reference model and the actual state is used as a feedback parameter. The thrust distributor is established with a simple dynamic model, and the control strategy is reconstructed by adjusting distribution weight to achieve the purpose of adaptive fault-tolerant control. Taking a typical fixed-angle propulsion system as an example, the algorithm is modeled, analyzed, and simulated. Simulation results show that the algorithm can track target parameters well without relying on an accurate dynamic model and automatically adapt to a variety of abnormal working conditions.
Numerical Simulation of Wake Magnetic Field in Pitch Motion of an Underwater Vehicle
Authors: Huang Bo , Liu Zhongyan , Xu Yujing , Ding Qiaochu , Pan Mengchun , Hu Jiafei , Zhang Qi 
Published: January 2023

Abstract
The underwater vehicle produces a complex hydrodynamic wake during its mission, which will generate the induced magnetic field. With the development of acoustic stealth technology for underwater vehicles, the wake-induced magnetic field is of great significance to detecting and tracking underwater vehicles. This paper combines the numerical simulation of the wake flow field and magnetic field. The magnetic field of the wake during the motion of the underwater vehicle is numerically simulated by using dynamic overlapping mesh technology. The results show that a strong magnetic field centered on the shedding vortex is formed at the wake during the floating movement of the underwater vehicle. With an increase in pitch movement time, the strength and range of the wake magnetic field gradually increase. The vertical range of the wake magnetic field is obviously affected by the upward trim angle, but the horizontal range is basically not affected. The range and strength of the wake magnetic field increase when the upward trim angle increases.
The Method for Analyzing the Pitching Motion Pattern of a New Surface Unmanned Wing-sliding Boat
Authors: Yang Zhaolong , Zou Zaojian , Wang Xuegang 
Published: January 2023

Abstract
In this paper, a new surface unmanned wing skate (NUSV) is taken as the research object, and the free decay model test under different drafts and different initial pitch angles is completed. In the case of specially selected regular waves, typical swaying tests against waves and waves were carried out. Four mathematical models for system identification of pitch motion modes are established. Based on the system identification theory and the programming idea of the improved genetic algorithm, the NUSV pitch motion mode system identification software is written in C# language. The system identification software is developed based on experimental technology and an analysis method of ship motion patterns is developed based on the optimization theory. This paper completed the following: (1) compared and calculated the mathematical models of system identification based on four-pitch motion modes and determining their motion modes, (2) based on the results of pitch motion mode identification, the predicted values and the test results are in good agreement, which verifies the rationality of the method and the reliability of the self-compiled software, (3) analyzed the variation law of the relative value of each moment that affects the NUSV pitch decay motion with the draft and initial pitch angle, (4) analyzed the influence of the NUSV in the regular wave. The variation law of each moment of the rocking motion with the draught, wave height, and encounter period, and (5) proposed the idea of establishing a rocking motion pattern map based on the rocking test and optimal identification theory. The method and research results proposed in this paper can provide a reliable motion model for the pitch motion control of this type of boat, and provide technical support for its effective regulation of the adverse effect of the pitch on the boat’s stability. It also provides a reference for the seakeeping of this type of boat and the optimization design of the subsequent boat type. The system identification software written can also be used for system identification of the rocking motion mode of this type of unmanned boat in other directions.
Acceleration and crossing of transition energy investigation using an RF structure of the barrier bucket type in the NICA accelerator complex
Authors: Kolokolchikov S , Senichev Y , Melnikov A , Syresin E 
Published: January 2023

Abstract
The dynamic of longitudinal motion in Barrier Bucket RF structure is considered. To preserve the stability of the proton beam during the acceleration to the experiment energy it is necessary to cross the transition energy and a rapid jump of transition energy is possible. The influence of the second-order slip factor is taking into account. The dynamic aperture is investigated for various gradients of focusing quadrupoles and corresponding working points which is necessary for transition crossing.
WITHDRAWN: Investigation of polarized proton spin coherence time at storage rings
Authors: Melnikov A , Aksentyev A , Senichev Y , Syresin E 
Published: January 2023

Abstract
This article has been withdrawn by IOP Publishing following the request by the authors to augment their affiliation by an institution. Upon reviewing the matter, IOP Publishing found that the institution (Moscow Institute of Physics and Technology) is subject to sanctions by the UK government.

To ensure compliance with sanctions regulations, this article has been withdrawn from IOPscience.
Study of hydrodynamic-tunnelling effects induced by high-energy proton beams in graphite
Authors: Wiesner C , Carra F , Don J , Kolthoff I , Lechner A , Rasile R , Wollmann D 
Published: January 2023

Abstract
The design and assessment of machine-protection systems for existing and future high-energy accelerators comprises the study of accidental beam impact on machine elements. In case of a direct impact of a large number of high-energy particle bunches in one location, the damage range in the material is significantly increased due to an effect known as hydrodynamic tunnelling. The effect is caused by the beam-induced reduction of the material density along the beam trajectory, which allows subsequent bunches to penetrate deeper into the target. The assessment of the damage range requires the sequential coupling of an energy-deposition code, like FLUKA, and a hydrodynamic code, like Autodyn. The paper presents the simulations performed for the impact of the nominal LHC beam at 7 TeV on a graphite target. It describes the optimisation of the simulation setup and the required coupling workflow. The resulting energy deposition and the evolution of the target density are discussed.
Beam loading compensation of standing wave linac with off-crest acceleration
Authors: Kuriki M , Konno S , Tajino H , Liptak Z , Takahashi T , Fukuda M , Omori T , Seimiya Y , Urakawa J , Yokoya K , Kashiwagi S 
Published: January 2023

Abstract
In E-Driven positron source of ILC, the generated positron is captured by a standing wave cavity. Because the deceleration capture method is employed, the positron is off-crest over the linac. Because the beam-loading is expected to be more than 1A in a multi-bunch format, the compensation is essential to obtain uniform intensity over the pulse. A conventional method for the compensation controlling the timing doesn’t work because RF and Beam induced field are in different phase. In this manuscript, we discuss the compensation with the off-crest acceleration case. A simple phase modulation on the input RF is a solution.
Fine decoupling test and simulation study to maintain a large transverse emittance ratio in hadron storage rings
Authors: Luo Y , Blackler I , Blaskiewicz M , Fischer W , Marusic A , Montag C , Shrey T , Xu D 
Published: January 2023

Abstract
In previous and existing hadron storage rings, the horizontal and vertical emittances are normally the same or very close. For the Hadron Storage Ring (HSR) of the Electron-Ion Collider (EIC), the design proton transverse emittance ratio is 10:1. To maintain this large emittance ratio, we need to have an online fine decoupling system to prevent transverse emittance exchange. For this purpose, we carried out fine decoupling experiments in the Relativistic Heavy Ion Collider (RHIC) and reviewed its previous operational data. Analytical prediction and numerical simulation are preformed to estimate how small the global coupling coefficient should be to maintain a 10:1 emittance ratio.
Designing the EIC electron storage ring lattice for a wide energy range
Authors: Marx D , Berg JS , Cai Y , Gamage BRP , Hoffstaetter GH , Kewisch J , Li Y , Montag C , Morozov V , Nosochkov Y , Ptitsyn V , Sagan D , Signorelli MG , Tepikian S , Unger J , Willeke F , Xu D 
Published: January 2023

Abstract
The Electron-Ion Collider (EIC) will collide electrons with hadrons at center-of-mass energies up to 140 GeV (in the case of electron-proton collisions). A 3.8-kilometer electron storage ring is being designed, which will store electrons with a range of energies up to 18 GeV for collisions at one or two interaction points. At energies up to 10 GeV the arcs will be tuned to provide 60 degree phase advance per cell in both planes, whereas at top energy of 18 GeV a 90 degree phase advance per cell will be used, which largely compensates for the horizontal emittance increase with energy. The optics must be matched at three separate energies, and the different phase-advance requirements in both the arc cells and the straight sections make this challenging. Moreover, the spin rotators must fulfill requirements for polarization and spin matching at widely different energies while satisfying technical constraints. In this paper these challenges and proposed solutions are presented and discussed.
Beam-beam interaction for tilted storage rings
Authors: Xu D , Luo Y , Holmes D , Montag C , Willeke F , Hao Y , Qiang J 
Published: January 2023

Abstract
In the Electron-Ion Collider (EIC) design, to avoid vertical orbit bumps in the Electron Storage Ring (ESR) at some crossing points with Hadron Storage Ring (HSR) to preserve the electron polarization, we plan to tilt the ESR plane by 200 μrad with an axis connecting IP6 and IP8. In this article, we study the beam-beam interaction when two rings are not in the same plane. The Lorentz boost formula is derived and the required vertical crabbing strength is calculated to compensate the dynamic effect. The beam-beam simulations are performed to validate the theory.
Status and powering test results of HTS undulator coils at 77 K for compact FEL designs
Authors: Richter S C , Ballarino A , Nes T H , Schoerling D , Bernhard A , Müller A-S 
Published: January 2023

Abstract
The production of low emittance positron beams for future linear and circular lepton colliders, like CLIC or FCC-ee, requires high-field damping wigglers. Just as compact free-electron lasers (FELs) require high-field but as well short-period undulators to emit high energetic, coherent photons. Using high-temperature superconductors (HTS) in the form of coated ReBCO tape superconductors allows higher magnetic field amplitudes at 4 K and larger operating margins as compared to low-temperature superconductors, like Nb-Ti.
This contribution discusses the development work on superconducting vertical racetrack (VR) undulator coils, wound from coated ReBCO tape superconductors. The presented VR coils were modularly designed with a period length of 13 mm. Powering tests in liquid nitrogen of multiple vertical racetrack coils were performed at CERN. The results from the measurements are presented for three VR coils and compared with electromagnetic simulations.
Lifetime correction using fast-off-energy response matrix measurements
Authors: Liuzzo S M , Carmignani N , Carver L R , Hoummi L , Perron T , Roche B , White S 
Published: January 2023

Abstract
Following the measurements done at MAX-IV [1], we try to exploit for the ESRF-EBS Storage Ring (SR) off-energy response matrix measurement for the optimization of Touschek lifetime. The measurements performed with fast AC steerers on- and off-energy are analyzed and fitted producing an effective model including quadrupole and sextupole errors. Several alternatives to extrapolate sextupoles strengths for correction are compared in terms of lifetime. For the time being none of the corrections could produce better lifetime than the existing empirically optimized set of sextupoles.