bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical Study on the Effect of Warm Ocean Anomalies in the South China Sea on the Heavy Rainfall Event on Hainan Island
Authors: Hao Sai , Peng Wei , Chen Li , Liu Xiaoyan , Liu Kewei 
Published: March 2024

Abstract
The previous work has found that the development of an extended TD, which resulted in an abnormally prolonged and heavy rainfall event on Hainan Island from 1 October to 9 October in 2010, was significantly influenced by warm oceanic anomalies from surface to subsurface layer in the SCS. Numerical experiments using the Weather Research and Forecast Model (WRF) were conducted to understand the mechanisms of TD development during this event. A control experiment with an observed warm SST pattern simulated a reasonably extended TD, while a sensitivity experiment using the climatological SST distribution reproduced only a weak and short-lived TD, thus highlighting the importance of air-sea interactions and persistent warm upper-ocean anomalies for the genesis and intensification of the TD.
A study of range dependent acoustical field based on the FVCOM model: A Case of typhoon NANMADOL
Authors: Wang Qianhui , Han Kaifeng , Shi Jian , Xiao Wenbin , Cao Xuhui 
Published: March 2024

Abstract
This study simulated the acoustical field in the western North Pacific (WNP) during typhoon NANMADOL, based on the FVCOM model and Range dependent Acoustic Model RAM. We implements a new approach, which helps to accurately characterize the energy distribution of acoustical field obtained by considering the range dependent ocean dynamical environment elements. The results show that, the sound speed profile in the upper-layer ocean of the sea water decreases to a certain extent on the day after the typhoon’s arrival, while the maximum decrease in the sound speed after the typhoon’s transit occurs 1∼2 days. The maximum decrease in the seawater sound speed can be up to 2-3 m/s 2 days after the typhoon’s transit. The passage of the typhoon mainly affects the far-field acoustical energy distribution when the sound source is located near the upper-layer ocean.
Feasibility of tide simulation using nesting module of FVCOM—a case study of Xiangshan Bay
Authors: Xu Yikai , Zhu Yuhang , Liu Zhe , Hu Song 
Published: March 2024

Abstract
The nesting module of FVCOM is widely utilized in numerical simulations for both nearshore and offshore. However, the details of the nesting module on computation accuracy and efficiency have not been quantitatively assessed. In this study, we take Xiangshan Bay as a case study area and design two groups of experiments to examine this issue on tide simulation. The results indicate that nesting module effectively incorporates all tidal information from the open ocean through the boundary. The nesting module experiment successfully simulates the tides almost exactly similar to the original tides, while achieving an efficiency improvement of approximately 48% by avoiding computations outside the high-resolution area.
Impacts of the Kuroshio Extension Stability on the Storm-track over the North Pacific
Authors: Jiang Y X , Sun J X , Wu X H , Wang H 
Published: March 2024

Abstract
The Kuroshio Extension (KE) modulates and influences the weather and climate over the North Pacific and even the entire earth through intense sea-air interactions. In this study, the seasonal responses of the North Pacific storm-track to the KE inter-annual variability are investigated by employing the lag regression approach. The results show that, there are significant seasonal variations in the storm-track responses to the KE stability variability. When the KE is stable in spring, the atmospheric low-level baroclinicity is intensified over the mid-latitudes of the North Pacific, resulting in the enhancement and upstream displacement of the storm-track. Similarly, the summer storm-track is also strengthened as a result of the stronger baroclinicity over the mid-latitudes of the North Pacific. In autumn and winter, the intensified baroclinicity in the upstream region of the storm-track, which is conducive for the development of synoptic eddies to the upstream of its climatological region, causes an upstream displacement of storm-track.
Motion Error Mechanism Analysis and Simulation Verification of Ocean Electric Field Sensor
Authors: Liu Junwei , Qiu Xiaotian , Chen Dixiang , Du Qingfa , Ding Zengquan , Pan Mengchun , Luo Huihui , Kuai Tao , Qin Yuhang 
Published: March 2024

Abstract
The electric field measurement based on Unmanned Underwater Vehicle (UUV) can monitor and evaluate real-time electric field of underwater targets in motion, which has the ability to adapt to harsh marine environments. However, electric field sensors generate new errors during underwater motion, and there is still absence of studies on the error theory and simulation. To address this, the error generation mechanism of Ag/AgCl electrodes induced by the flow field was analyzed in this paper. A coupled mathematical model of flow-chemical-electric multi-physical field was established for the first time, and finite element simulation analysis was carried out. The results show that the change value of electrode surface potential under the influence of flow rate is basically in agreement with the empirical formulae. R-squared value of the two fits reaches up to 0.968, and RMSE value is less than 0.003, confirming the robustness of the model and simulations. The multi-physical field coupling model and simulation method proposed in this paper can provide theoretical and methodological support for the design of electric field sensors and motion error correction.
Dynamic robust path-following control of UVMS subject to manipulator disturbance
Authors: Jiao Huifeng , Wang Guanhua , Wang Yintao , Mao Zhaoyong 
Published: March 2024

Abstract
This study addresses path-following control issue of underwater vehicle-manipulator systems (UVMS) in the presence of manipulator disturbances. It considers disturbance forces arising from manipulator position changes, including restorative forces and coupling forces, to achieve precise UVMS path-following control. By analysing the variations in the center of mass and buoyant center of manipulator links during motion, the corresponding restorative torque is deduced, and disturbance forces are calculated. Additionally, joint coupling forces generated during manipulator startup, braking, and rotation are taken into account. These aspects collectively yield the expression for disturbance forces. Subsequently, adaptive sliding mode control are employed to achieve accurate control of the UVMS system. This study effectively addresses the issue of UVMS body control under manipulator disturbances. By analysing the motion of manipulator links, the disturbance forces exerted by the manipulator on the UVMS are identified, offering insights for similar control challenges arising from manipulator disturbances. Simulation results are conducted to show the effectiveness of the proposed control method.
Fault Diagnosis of Wind Turbine Blades Based on Image Fusion and ResNet
Authors: Wu Sheng , Wang Guoliang , Jiang Nian , Zhang Shuai , Zhang Pingping , Liu Yang 
Published: March 2024

Abstract
In the diagnosis of wind turbine blade faults, the information provided by a single sensor is limited. To address this issue and take advantage of complementary features among multiple fault information sources, while enhancing fault diagnosis accuracy, a method for diagnosing wind turbine blade faults is proposed. This method combines Image Fusion Convolutional Neural Network (IFCNN) with the ResNet network. Firstly, the time-frequency representation of vibration data is obtained using wavelet transform. The time-frequency representation and blade fault images are input into the IFCNN to obtain fused images containing two categories of fault features. Next, the ResNet convolutional neural network is employed to automatically extract non-linear features from the fused images, establishing a classification model for blade fault images. Experimental results demonstrate that, with limited training data, the classification accuracy of this method can reach 86.7%, outperforming fault diagnosis models trained with single fault information. This approach offers a new perspective and method for the fusion of multiple fault information in the field of wind turbine blade fault diagnosis
Reconstruction of Thermocline Depth based on Machine Learning
Authors: Guan Zengxin , Bao Senliang , Wang Huizan , Zhang Ren , Chen Jian , Lyu Hailong 
Published: March 2024

Abstract
The thermocline, as a special structure in the ocean temperature field, has an important impact on sound propagation, material transport, and human underwater activities in the ocean. Using existing methods, the thermocline is distributed underwater and cannot be observed in real-time and with high spatiotemporal accuracy. It can only be calculated from measured data. In previous studies, it was demonstrated that the ocean thermocline is significantly correlated with its sea surface elements. Based on machine learning methods, this paper uses sea level anomaly, sea surface temperature, sea surface salinity, time, longitude and latitude, as well as the vertical gradient method to calculate the depth of the thermocline as data. By constructing a Random Forest model, the regression relationship between the thermocline and sea surface elements and spatiotemporal elements is obtained, this thermocline reconstruction model has a good fitting effect on thermocline depth, with a fitting coefficient of 0.85, and its accuracy has been evaluated. This paper also evaluated the feature importance of the six input data of the model. The results showed that the three sea surface parameters had similar importance, with sea surface temperature having the most significant impact on the depth of the thermocline. The final model can achieve rapid reconstruction of thermocline depth using sea surface information.
Research on Sound Source Localization of Multiple Fixed Targets Based on Machine Learning and Distributed Arrays
Authors: Liu Shuo , Li Heng , Yu Qiankun , Zhao Yun , Zhang Wen 
Published: March 2024

Abstract
This paper studies a sound source localization method of multiple fixed targets based on machine learning and distributed arrays. In an outdoor open field, a three-line array was applied to collect array data and calculate latency characteristics. Then multiple classification models were established and trained. Finally, the locations of the sound source points were predicted by those models, in which the support vector machine (SVM), the nearest node (KNN), and the naive Bayesian model achieved 100% localization accuracy. Compared to the conventional method, this method has three significant advantages: First, it does not rely on the microphone channel order and does not need to be calibrated in advance, which simplifies the localization process; Second, it can fulfill high accuracy requirements, especially suitable for the scene of multiple fixed targets; Third, it has the advantage of incremental learning, as the times of localization rises, the training set is continuously enriched and the localization results become more precise.
Seismo-acoustic anomalous interference pattern in shallow water
Authors: Dong Yang , Piao Shengchun 
Published: March 2024

Abstract
In shallow water layered leaky waveguide, the sound energy below the cut-off frequency is coupled to the seismic sound field. Very low frequency (VLF) sound is propagated in both water-borne and bottom-trapped modes. Under these circumstances, the interference characteristics of sound field and its application are different from those of medium and high frequency, which is the subject of this study. In a multi-channel seismic exploration experiment in the South Yellow Sea, an anomalous interference pattern for the VLF band, e.g., the waveguide invariant of interference striations changes from positive to negative with increase of frequency, was observed in the range-frequency domain. Numerical simulations and modal analyses show that the anomalous interference pattern corresponds to the interference between waterborne modes and bottom-trapped modes, because the group velocity for these two types normal modes change differently in the VLF band.
Effect of underwater vehicle wake on sound propagation characteristics in stratified medium
Authors: Feng Jiabao , Song Yang 
Published: March 2024

Abstract
Due to the uneven distribution of seawater temperature and salinity, the density distribution at different depths is different, thus forming a density step layer with a certain gradient. Acquiring the wake internal wave field generated by underwater vehicles passing through this layered structure and mastering its modulation characteristics for the sound field can provide new technical support for the tracking and identification of underwater vehicles. In this paper, the real size model of a certain type of underwater vehicle is taken as the research object to explore the characteristics of its wake internal wave field, and the influence of navigation parameters on the wake field and the change of winning characteristics under the influence of internal waves are simulated and analyzed. The results show that the navigation parameters of underwater vehicles have obvious influence on the wake field, and then have specific influence on the sound field structure in a certain range, especially on the sound signal of the sound field.
Modeling and simulation analysis of hydroacoustic field under ice
Authors: Wang K L , Chai Z G , Zhu H H , Wang H C 
Published: March 2024

Abstract
In order to study the effect of polar ice on sound propagation in seawater, the finite element method was used to establish a seawater sound propagation model with and without ice, and the influence of the presence of ice on the seawater sound propagation law was analyzed. The simulation results show that the energy of sound propagation in seawater has a certain loss when there is an ice layer compared with the case of no ice layer. Through frequency domain analysis, the propagation process of sound energy in seawater can be clearly seen. Normally, the sound energy generated by a point source at a suitable location will return to the seawater after passing through the sea surface, while after the addition of the ice layer, part of the sound energy generated by the point source will be lost to the air through the ice layer, resulting in a reduction of the acoustic energy returned to the seawater. As a result, there is less acoustic energy in the seawater than in the ice-free case.
Sound intensity fluctuations caused by internal solitary wave train in the South China Sea
Authors: Gao Fei , Xu Fanghua , Li Zhenglin , Qin Jixing , Ma Shuqing 
Published: March 2024

Abstract
Dynamic internal solitary wave (ISW) can cause significant underwater sound fluctuations. In this paper, the periodic characteristics of sound intensity fluctuations and related physical mechanisms are investigated in the scenario that an ISW train passing through the acoustic path from source to receivers. From simulation results and experimental data, it is shown that the sound intensity fluctuates quasi-periodically, and the predominant fluctuation frequency is associated with modal interference and modal intensity. The initial mode coefficients at the source and the mode coupling are responsible for the fluctuations of modal intensities, and one of the predominant fluctuation periods is the same as that of the ISWs.
Moving harmonic source depth estimation by MDFMD-v in a weakly range-depend waveguide
Authors: Xu Yangjin , Li Xiaolei , Gao Wei 
Published: March 2024

Abstract
To estimate the depth of a non-cooperative moving sound source in a range-depend waveguide, a passive depth estimation method combining depth-polarity search for a harmonic moving source is proposed in this paper. Firstly, the method obtains each mode parameters at the source and horizontal linear array (HLA) locations by utilizing the modal depth function constrained modal Doppler velocity estimation (MDFMD-v) and matrix pencil (MP) methods, respectively. Subsequently, mode amplitudes are calculated by compressive sensing. To determine the polarity of each mode amplitude, a depth-polarity search method is given in this paper. Finally, a depth ambiguity function with mode amplitude polarity is used to obtain the depth estimation results. Simulation results verify the effectiveness of the method.
DOA Estimation of Broadband Sources Using Dimension-Reduced Matrix Filter with Deep Nulling in a Strong Interference Environment
Authors: Bian Zhaoxiang , Wang Haozhong , Gao Wei , Song Penghua 
Published: March 2024

Abstract
To enhance the performance of the adaptive matrix filter with nulling, a dimension-reduced matrix filter with deep nulling (DR-MFDN) is proposed in this paper and used for direction of arrival (DOA) estimation of broadband sources in a strong interference environment. Consider the change of noise after filtering, the gaussian matrix is used for prewhitening to prevent the noise from converting into colored noise without affecting the response characteristics of the beam-space. Finally, the multiple measurement vector orthogonal matching pursuit (MOMP) algorithm is used for DOA estimation of weak targets after filtering, and the simulation results show a better DOA estimation performance compared to the OMP and MUSIC algorithms with short snapshots.
Source localization in deep ocean based on complex convolutional neural network
Authors: Yang Zhikai , Shen Tongsheng , Cui Mengda , Luo Zailei , Li Xionghui , Zhao Qiankun 
Published: March 2024

Abstract
To solve the problem that phase information cannot be used effectively in underwater acoustic localization, a deep learning network based on complex convolutional neural network is proposed in this paper. The complex convolution layer is used to effectively utilize the phase features favorable to the source localization problem, and the phase information is used to improve the feature extraction performance. Through simulation, the performance of the network for source localization in deep-sea direct arrival region under different SNR conditions is analyzed. The results show that the complex convolutional network proposed in this paper can locate the sound source with less computation and has better performance under the condition of low SNR.
Research on Sonar Motion Compensation Method Based on Acoustic Calibration System
Authors: Tang Wusheng , Liang Peihui , Wang Jun , Xu Pan , Lou Kang , Han Jingqi , Zhang Peng 
Published: March 2024

Abstract
The influence of sonar motion error restricts the improvement of sonar imaging resolution. High-precision sonar motion compensation is an important guarantee for high-quality imaging. In this paper, a sonar motion compensation method based on acoustic calibration system is proposed, and the imaging results are compared with those based on the traditional combined inertial guidance measurement method. Experimental results show that the sonar motion compensation method based on acoustic calibration system plays a crucial role in imaging, which proves that acoustic calibration method is an effective means to improve the resolution of sonar imaging.
Research on a kind of positioning anti-eccentric fixture for measuring thin wall gear with special big inner hole
Authors: He Min , Cai Dongyan , Gao Hongbo , Li Cui , Zhang Ke , Xing Rui 
Published: March 2024

Abstract
This paper mainly studies and designs the clamping tool which is installed in the measuring of big gears with big inner holes and thin walls. This paper analyzes the disadvantages of conventional clamping of large gears with special inner holes, and presents an example of the research and development of the Assembly of the mounting and positioning device of the special large inner hole gear based on the gear measuring instrument. At present, in the field of gear measurement, the measurement of large gears is always a technical problem. The technical ability of gear testing in our country is restricted by various factors. Most gear high-precision instruments and their accessories still depend on imports, which cannot be a good solution to the measurement of special gear installation and positioning problems from the economy and timeliness. Especially, large gears with large bores and thin walls face the problem of determining the position of the measuring device and the measured gears, that is, the measuring datum is difficult to determine [1]. This paper proposes how to use the existing gear measuring instrument to develop and use small accessories, so as to help the production enterprises and measuring institutions solve the problem of reference positioning in the actual production measurement process and determine the accuracy of special gear samples.
Evaluation of measurement uncertainty of drop hammer impact test for composite materials
Authors: Lei Li , Yao Zhang 
Published: March 2024

Abstract
Future aircraft structures are usually dominated by composites, and one of the key defects and forms of damage to composite structures is the impact damage caused by low-energy (especially low-speed) foreign matter. This kind of low-energy impact test is usually completed by the drop hammer testing machine, so accurately assessing the impact test of the falling hammer completed in accordance with the standard test method, and the reliability of the permissible value of the impact performance of the objective reaction composite is of great significance to the future aircraft structure design. Taking a standard composite test piece as an example, considering the key factors in the whole process of impact test, a mathematical model is constructed, and the measurement uncertainty of different configuration composite test pieces of different configurations is calculated according to the test data, which provides a basis for aircraft structural design.
Temperature error compensation method of fiber optic gyroscope based on deep learning
Authors: Wu Junjie , Wang Lei 
Published: March 2024

Abstract
This work provides an error compensation strategy based on deep learning to address the temperature error of a fiber optic gyroscope (FOG). The Attention structure was used to improve the Long Short-Term Memory Network (LSTM), and the improved network was utilized to establish the prediction and compensation model of FOG error. From the two perspectives of the learning ability of the neural network and the improvement of FOG performance, this paper selects three indicators: prediction accuracy, mean square error, and FOG bias stability to comprehensively evaluate the performance of the compensation model. Through comparison, the compensation effect is significantly enhanced.
Pipeline inertial measurement mileage correction method based on pipeline junction detection
Authors: Chen Xiaopan , Wang Ningbo , Chen Zhipeng , Yin Yu , Jia Peng , Yu Chuanyong , Wang Likui , Yu Jianwei , Lv Shiwang 
Published: March 2024

Abstract
A pipeline measurement robot(PMR) is an important tool for pipeline shape measurement and disease detection. Flexible pipelines in the horizontal plane inside dams are used for internal deformation monitoring, which is characterized by small caliber, no ground marking assistance, and higher accuracy requirements, so the accuracy of the data fusion algorithm needs to be improved. In this paper, we propose a pipeline inertial measurement odometry correction method based on pipeline junction detection, which establishes a reference model of pipeline junction locations, detects pipeline junction gap locations along the measurement route using k-mean clustering, corrects odometer data based on the difference between the detected and reference locations, fuses IMU and odometer data and evaluates the internal compliance accuracy. The proposed method is validated using the measured data of the internal pipeline of Tianchi Dam, and the results show that the method proposed in this paper reduces the root-mean-square error (RMSE) by about 46% compared with the results without detection correction and direct fusion. Therefore, the method has good results and practical applications.