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Tool-Emitted Sound Signal Decomposition Using Wavelet and Empirical Mode Decomposition Techniques—A Comparison 使用小波和经验模式分解技术对工具发出的声音信号进行分解--比较
Pub Date : 2024-09-18 DOI: 10.3390/sym16091223
Emerson Raja Joseph, Hossen Jakir, Bhuvaneswari Thangavel, Azlina Nor, Thong Leng Lim, Pushpa Rani Mariathangam
Analysis of non-stationary and nonlinear sound signals obtained from dynamical processes is one of the greatest challenges in signal processing. Turning machine operation is a highly dynamic process influenced by many events, such as dynamical responses, chip formations and the operational conditions of machining. Traditional and widely used fast Fourier transformation and spectrogram are not suitable for processing sound signals acquired from dynamical systems as their results have significant deficiencies because of stationary assumptions and having an a priori basis. A relatively new technique, discrete wavelet transform (DWT), which uses Wavelet decomposition (WD), and the recently developed technique, Hilbert–Huang Transform (HHT), which uses empirical mode decomposition (EMD), have notably better properties in the analysis of nonlinear and non-stationary sound signals. The EMD process helps the HHT to locate the signal’s instantaneous frequencies by forming symmetrical envelopes on the signal. The objective of this paper is to present a comparative study on the decomposition of multi-component sound signals using EMD and WD to highlight the suitability of HHT to analyze tool-emitted sound signals received from turning processes. The methodology used to achieve the objective is recording a tool-emitted sound signal by way of conducting an experiment on a turning machine and comparing the results of decomposing the signal by WD and EMD techniques. Apart from the short mathematical and theoretical foundations of the transformations, this paper demonstrates their decomposition strength using an experimental case study of tool flank wear monitoring in turning. It also concludes HHT is more suitable than DWT to analyze tool-emitted sound signals received from turning processes.
分析从动态过程中获得的非稳态和非线性声音信号是信号处理领域最大的挑战之一。车床操作是一个高度动态的过程,受到许多事件的影响,如动态响应、切屑形成和加工操作条件。传统的、广泛使用的快速傅里叶变换和频谱图并不适合处理从动态系统中获取的声音信号,因为它们的结果存在明显的缺陷,因为存在静态假设和先验基础。一种相对较新的技术,即使用小波分解(WD)的离散小波变换(DWT),以及最近开发的使用经验模式分解(EMD)的希尔伯特-黄变换(HHT),在分析非线性和非稳态声音信号方面具有明显更好的特性。EMD 处理通过在信号上形成对称包络,帮助 HHT 定位信号的瞬时频率。本文旨在介绍使用 EMD 和 WD 对多成分声音信号进行分解的比较研究,以突出 HHT 分析车削过程中接收到的刀具发出的声音信号的适用性。实现这一目标的方法是通过在车床上进行实验来记录刀具发出的声音信号,并比较使用 WD 和 EMD 技术分解信号的结果。除了简短的变换数学和理论基础外,本文还通过车削中刀具侧面磨损监测的实验案例研究证明了其分解强度。本文还得出结论,HHT 比 DWT 更适合分析车削过程中接收到的刀具发出的声音信号。
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引用次数: 0
A Channel-Sensing-Based Multipath Multihop Cooperative Transmission Mechanism for UE Aggregation in Asymmetric IoE Scenarios 一种基于信道传感的多路径多跳合作传输机制,用于非对称物联网场景中的 UE 聚合
Pub Date : 2024-09-18 DOI: 10.3390/sym16091225
Hua-Min Chen, Ruijie Fang, Shoufeng Wang, Zhuwei Wang, Yanhua Sun, Yu Zheng
With the continuous progress and development of technology, the Internet of Everything (IoE) is gradually becoming a research hotspot. More companies and research institutes are focusing on the connectivity and transmission between multiple devices in asymmetric networks, such as V2X, Industrial Internet of Things (IIoT), environmental monitoring, disaster management, agriculture, and so on. The number of devices and business volume of these applications have rapidly increased in recent years, which will lead to a large load of terminals and affect the transmission efficiency of IoE data transmission. To deal with this issue, it has been proposed to perform data transmission via multipath cooperative transmission with multihop transmission. This approach aims to improve transmission latency, energy consumption, reliability, and throughput. This paper designs a channel-sensing-based cooperative transmission mechanism (CSCTM) with hybrid automatic repeat request (HARQ) for user equipment (UE) aggregation mechanism in future asymmetric IoE scenarios, which ensures that IoE devices data can be transmitted quickly and reliably, and supports real-time data processing and analysis. The main contents of this proposed method include strategies of cooperative transmission and redundancy version (RV) determination, a joint combination of decoding process at the receiving side, and a design of transmission priority through ascending offset sort (AOS) algorithm based on channel sensing. In addition, multihop technology is designed for the multipath cooperative transmission strategy, which enables cooperative nodes (CN) to help UE to transmit data. As a result, it can be obtained that CSCTM provides significant advancements in latency and energy consumption for the whole system. It demonstrates improvements in enhanced coverage, improved reliability, and minimized latency.
随着科技的不断进步和发展,万物互联(IoE)逐渐成为研究热点。越来越多的企业和研究机构开始关注非对称网络中多个设备之间的连接和传输,如 V2X、工业物联网(IIoT)、环境监测、灾害管理、农业等。近年来,这些应用的设备数量和业务量迅速增加,会导致终端负荷过大,影响物联网数据传输效率。针对这一问题,有人提出了通过多路径协同传输与多跳传输进行数据传输的方法。这种方法旨在改善传输延迟、能耗、可靠性和吞吐量。本文设计了一种基于信道传感的协同传输机制(CSCTM),并为未来非对称物联网场景下的用户设备(UE)聚合机制设计了混合自动重复请求(HARQ),确保物联网设备数据能够快速可靠地传输,并支持实时数据处理和分析。该方法的主要内容包括合作传输和冗余版本(RV)确定策略、接收端解码过程的联合组合,以及基于信道感知的升偏排序(AOS)算法的传输优先级设计。此外,多跳技术还设计了多径合作传输策略,使合作节点(CN)能够帮助 UE 传输数据。因此,可以得出 CSCTM 在整个系统的延迟和能耗方面有显著进步。它在增强覆盖范围、提高可靠性和最小化延迟方面都有所改进。
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引用次数: 0
Three-Dimensional Moran Walk with Resets 带重置的三维莫兰步
Pub Date : 2024-09-18 DOI: 10.3390/sym16091222
Mohamed Abdelkader
In this current paper, we propose to study a three-dimensional Moran model (Xn(1),Xn(2),Xn(3)), where each random walk (Xn(i))∈{1,2,3} increases by one unit or is reset to zero at each unit of time. We analyze the joint law of its final altitude Xn=max(Xn(1),Xn(2),Xn(3)) via the moment generating tools. Furthermore, we show that the limit distribution of each random walk follows a shifted geometric distribution with parameter 1−qi, and we analyze the maximum of these three walks, also giving explicit expressions for the mean and variance.
在本文中,我们提出研究一个三维莫兰模型(Xn(1),Xn(2),Xn(3)),其中每个随机行走(Xn(i))∈{1,2,3}在每个时间单位增加一个单位或重置为零。我们通过矩生成工具分析其最终高度 Xn=max(Xn(1),Xn(2),Xn(3)) 的联合规律。此外,我们还证明了每种随机游走的极限分布都遵循参数为 1-qi 的移位几何分布,并分析了这三种游走的最大值,同时给出了均值和方差的明确表达式。
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引用次数: 0
Balance Controller Design for Inverted Pendulum Considering Detail Reward Function and Two-Phase Learning Protocol 考虑详细奖励函数和两阶段学习协议的倒立摆平衡控制器设计
Pub Date : 2024-09-18 DOI: 10.3390/sym16091227
Xiaochen Liu, Sipeng Wang, Xingxing Li, Ze Cui
As a complex nonlinear system, the inverted pendulum (IP) system has the characteristics of asymmetry and instability. In this paper, the IP system is controlled by a learned deep neural network (DNN) that directly maps the system states to control commands in an end-to-end style. On the basis of deep reinforcement learning (DRL), the detail reward function (DRF) is designed to guide the DNN learning control strategy, which greatly enhances the pertinence and flexibility of the control. Moreover, a two-phase learning protocol (offline learning phase and online learning phase) is proposed to solve the “real gap” problem of the IP system. Firstly, the DNN learns the offline control strategy based on a simplified IP dynamic model and DRF. Then, a security controller is designed and used on the IP platform to optimize the DNN online. The experimental results demonstrate that the DNN has good robustness to model errors after secondary learning on the platform. When the length of the pendulum is reduced by 25% or increased by 25%, the steady-state error of the pendulum angle is less than 0.05 rad. The error is within the allowable range. The DNN is robust to changes in the length of the pendulum. The DRF and the two-phase learning protocol improve the adaptability of the controller to the complex and variable characteristics of the real platform and provide reference for other learning-based robot control problems.
作为一种复杂的非线性系统,倒立摆(IP)系统具有非对称性和不稳定性的特点。本文采用学习型深度神经网络(DNN)控制倒立摆系统,以端到端方式将系统状态直接映射为控制指令。在深度强化学习(DRL)的基础上,设计了细节奖励函数(DRF)来指导 DNN 学习控制策略,大大增强了控制的针对性和灵活性。此外,还提出了两阶段学习协议(离线学习阶段和在线学习阶段)来解决 IP 系统的 "真实差距 "问题。首先,DNN 基于简化的 IP 动态模型和 DRF 学习离线控制策略。然后,在 IP 平台上设计并使用安全控制器,对 DNN 进行在线优化。实验结果表明,在平台上进行二次学习后,DNN 对模型误差具有良好的鲁棒性。当摆锤长度减少 25% 或增加 25% 时,摆锤角度的稳态误差小于 0.05 rad。误差在允许范围内。DNN 对摆长的变化具有鲁棒性。DRF 和两阶段学习协议提高了控制器对实际平台复杂多变特性的适应性,为其他基于学习的机器人控制问题提供了参考。
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引用次数: 0
Magnetohydrodynamic Waves in Asymmetric Waveguides and Their Applications in Solar Physics—A Review 不对称波导中的磁流体动力波及其在太阳物理学中的应用--综述
Pub Date : 2024-09-18 DOI: 10.3390/sym16091228
Robertus Erdélyi, Noémi Kinga Zsámberger
The solar atmosphere is a complex, coupled, highly dynamic plasma environment, which shows rich structuring due to the presence of gravitational and magnetic fields. Several features of the Sun’s atmosphere can serve as guiding media for magnetohydrodynamic (MHD) waves. At the same time, these waveguides may contain flows of various magnitudes, which can then destabilise the waveguides themselves. MHD waves were found to be ubiquitously present in the solar atmosphere, thanks to the continuous improvement in the spatial, temporal, and spectral resolution of both space-born and ground-based observatories. These detections, coupled with recent theoretical advancements, have been used to obtain diagnostic information about the solar plasma and the magnetic fields that permeate it, by applying the powerful concept of solar magneto-seismology (SMS). The inclusion of asymmetric shear flows in the MHD waveguide models used may considerably affect the seismological results obtained. Further, they also influence the threshold for the onset of the Kelvin–Helmholtz instability, which, at high enough relative flow speeds, can lead to energy dissipation and contribute to the heating of the solar atmosphere—one of the long-standing and most intensely studied questions in solar physics.
太阳大气是一个复杂、耦合、高度动态的等离子体环境,由于引力场和磁场的存在而呈现出丰富的结构。太阳大气的一些特征可以作为磁流体动力(MHD)波的引导介质。同时,这些波导可能包含不同程度的流,从而破坏波导本身的稳定性。由于空间和地面观测站的空间、时间和光谱分辨率不断提高,人们发现 MHD 波在太阳大气中无处不在。这些探测结果与最近的理论进展相结合,通过应用强大的太阳磁震学(SMS)概念,获得了有关太阳等离子体和渗透其中的磁场的诊断信息。在所使用的 MHD 波导模型中加入不对称剪切流可能会大大影响所获得的地震学结果。此外,它们还会影响开尔文-赫尔姆霍兹不稳定性的起始阈值,在相对流速足够高的情况下,这种不稳定性会导致能量耗散,造成太阳大气加热--这是太阳物理学中一个长期存在且研究最深入的问题。
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引用次数: 0
The Optimization of Aviation Technologies and Design Strategies for a Carbon-Neutral Future 优化航空技术和设计战略,实现碳中和的未来
Pub Date : 2024-09-18 DOI: 10.3390/sym16091226
Zheng Xu, Jinze Pei, Yue Song
This Special Issue systematically reviews and summarizes the latest research into carbon neutrality technology and symmetry principles in power engineering and engineering thermophysics [...]
本特刊系统地回顾和总结了动力工程和工程热物理学中的碳中和技术和对称性原理的最新研究 [...]
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引用次数: 0
A New Multimodal Modification of the Skew Family of Distributions: Properties and Applications to Medical and Environmental Data Skew 分布家族的一种新的多模式修正:特性及在医疗和环境数据中的应用
Pub Date : 2024-09-18 DOI: 10.3390/sym16091224
Jimmy Reyes, Mario A. Rojas, Pedro L. Cortés, Jaime Arrué
The skew distribution has the characteristic of appropriately modeling asymmetric unimodal data. However, in practice, there are several cases in which the data present more than one mode. In the literature, it is possible to find a large number of authors who have studied extensions based on the skew distribution to model this type of data. In this article, a new family is introduced, consisting of a multimodal modification to the family of skew distributions. Using the methodology of the weighted version of a function, we perform the product of the density function of a family of skew distributions with a polynomial of degree 4, thus obtaining a more flexible model that allows modeling data sets, whose distribution contains at most three modes. The density function, some properties, moments, skewness coefficients, and kurtosis of this new family are presented. This study focuses on the particular cases of skew-normal and Laplace distributions, although it can be applied to any other distribution. A simulation study was carried out, to study the behavior of the model parameter estimates. Illustrations with real data, referring to medicine and environmental data, show the practical performance of the proposed model in the two particular cases presented.
偏斜分布具有对非对称单模态数据进行适当建模的特点。然而,在实践中,有几种情况的数据呈现出不止一种模式。在文献中,可以找到大量作者研究了基于偏态分布的扩展,以模拟这类数据。本文介绍了一个新的族,由对偏斜分布族的多模式修正组成。利用函数加权版本的方法,我们将偏态分布族的密度函数与阶数为 4 的多项式进行乘积,从而得到一个更灵活的模型,可以对最多包含三种模式的数据集进行建模。本文介绍了这一新族的密度函数、某些性质、矩、偏度系数和峰度。本研究侧重于偏态正态分布和拉普拉斯分布的特殊情况,但也可应用于任何其他分布。为了研究模型参数估计的行为,我们进行了模拟研究。使用真实数据(涉及医药和环境数据)进行说明,显示了所提出的模型在两种特殊情况下的实际性能。
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引用次数: 0
Study of Behavior of Geometric Symmetries of 3D Objects with Digital Fresnel–Kirchhoff Holograms, Using Non-Redundant Calculations 利用非冗余计算研究数字菲涅尔-基尔霍夫全息图的三维物体几何对称性行为
Pub Date : 2024-09-17 DOI: 10.3390/sym16091219
Joan Manuel Villa-Hernández, Arturo Olivares-Pérez, Roxana Herran-Cuspinera, José Luis Juárez-Pérez, Luis Mancio, Rocío Delesma
Techniques for producing fast Huygens–Fresnel–Kirchhoff digital holograms using kernel symmetry are studied. This study demonstrates non-linear behavior in computing time, as the sampled area changes with respect to the propagated diffracted area. Given the large amount of data involved in 3D object formation, symmetries are crucial in reducing the computational time. The evaluation of diffraction patterns is implemented to avoid redundant calculations while preserving the precision of the results. This algorithm decreases the required computing time depending on the symmetry of the axes, compared to direct calculation. Interestingly, the reduction in computing time relative to the number of symmetries is not linear. Computing time curves are presented. Some redundant computations are determined by the initial conditions of the object matrix, whether even or odd, along its x and y axes. Diagonal symmetries possess intrinsic redundancy along their axes. The rotation of the image must align with the rotation of the geometric coordinates in each section to ensure accurate calculations.
研究了利用核对称性快速制作惠更斯-菲涅尔-基尔霍夫数字全息图的技术。这项研究表明,随着采样区域相对于传播衍射区域的变化,计算时间也会发生非线性变化。鉴于三维物体形成涉及大量数据,对称性对于减少计算时间至关重要。对衍射图样进行评估是为了避免冗余计算,同时保持计算结果的精确性。与直接计算相比,该算法可根据轴对称性减少所需的计算时间。有趣的是,计算时间的减少与对称性的数量无关。计算时间曲线如下。一些冗余计算是由对象矩阵的初始条件决定的,无论是偶数还是奇数,都是沿其 x 轴和 y 轴进行的。对角对称矩阵沿其轴线具有内在冗余。图像的旋转必须与各部分几何坐标的旋转一致,以确保计算的准确性。
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引用次数: 0
Concomitant Observer-Based Multi-Level Fault-Tolerant Control for Near-Space Vehicles with New Type Dissimilar Redundant Actuation System 基于观测器的近空间飞行器多级容错协同控制与新型异构冗余执行系统
Pub Date : 2024-09-17 DOI: 10.3390/sym16091221
Meiling Wang, Jun Wang, Jian Huang
This paper presents a concomitant observer-based multi-level fault-tolerant control (FTC) for near-space vehicles (NSVs) with a new type dissimilar redundant actuation system (NT-DRAS). When NSV flight control system faults occur in NT-DRAS and attitude-corresponding sensors, the NSV hybrid output states, including the concomitant observer usable states and the real system states, are applied to solve the FTC gain by using the linear quadratic regulator (LQR) technique. Furthermore, since NT-DRAS is used in NSVs, a multi-level (actuation system level and flight control level) FTC strategy integrating NT-DRAS channel switching and flight control LQR is proposed for complex and worsening fault cases. The most important finding is that though the proposed strategy is applicable for worsening fault cases in NSVs, systematic and accurate criteria for the process being performed are necessary and can improve the FTC efficiency with minimal FTC resources. Additionally, such criteria can improve the NSV’s responsiveness to comprehensive faults, provided that the real-time performance of the fault detection and diagnosis (FDD) scheme can be further optimized. The concomitant observer convergence and the multi-level FTC strategy have been verified by numerical simulations based on the Matlab/Simulink platform.
本文提出了一种基于伴随观测器的多级容错控制(FTC),适用于带有新型异样冗余执行系统(NT-DRAS)的近空间飞行器(NSV)。当NSV飞行控制系统的NT-DRAS和姿态对应传感器发生故障时,NSV混合输出状态,包括伴随的观测器可用状态和真实系统状态,通过线性二次调节器(LQR)技术用于求解FTC增益。此外,由于在 NSV 中使用了 NT-DRAS,因此针对复杂和恶化的故障情况,提出了一种集成 NT-DRAS 信道切换和飞行控制 LQR 的多级(执行系统级和飞行控制级)FTC 策略。最重要的发现是,尽管所提出的策略适用于 NSV 中的恶化故障情况,但必须对正在执行的过程制定系统而准确的标准,这样才能以最少的 FTC 资源提高 FTC 效率。此外,只要能进一步优化故障检测和诊断(FDD)方案的实时性能,这些标准还能提高 NSV 对综合故障的响应能力。基于 Matlab/Simulink 平台的数值仿真验证了相应的观测器收敛性和多级 FTC 策略。
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引用次数: 0
Experiments of Ultrasonic Positioning System with Symmetrical Array Used in Jiangmen Underground Neutrino Observatory 江门地下中微子观测站使用的对称阵列超声波定位系统实验
Pub Date : 2024-09-17 DOI: 10.3390/sym16091218
Guolei Zhu, Wenxin Yang, Duo Teng, Qi Wang, Jiaqi Hui, Jie Lian
The experimental environment of the JUNO is a spherical container filled with a liquid scintillator (alkylbenzene) with a diameter of about 35 m. To observe neutrino interactions in alkylbenzene with photomultiplier tubes (PMTs) and to precisely measure the neutrino properties in this environment, it is necessary to design a high-precision localization system for the PMT device. In this paper, we report the design of an ultrasonic localization system with a symmetrical receiving array, based on the construction of an experimental setup that reproduces the configuration of JUNO’s environment. We show through positioning consistency and accuracy measurements that the ultrasonic localization system has a high localization accuracy and can perform effective localization in an alkylbenzene solution with 98% purity.
为了用光电倍增管(PMT)观测烷基苯中的中微子相互作用并精确测量该环境中的中微子特性,有必要为光电倍增管装置设计一套高精度的定位系统。在本文中,我们报告了带有对称接收阵列的超声波定位系统的设计情况,该系统的基础是构建一个再现 JUNO 环境配置的实验装置。我们通过定位一致性和精度测量证明,该超声波定位系统具有很高的定位精度,可以在纯度为 98% 的烷基苯溶液中进行有效定位。
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引用次数: 0
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Symmetry
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