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2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics最新文献

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Fault Diagnosis of Rolling Element Bearing Based on Improved Ensemble Empirical Mode Decomposition 基于改进集成经验模态分解的滚动轴承故障诊断
Xiaofeng Yue, H. Shao
The fault signal of rolling bearing has the characteristic of non-stationary, nonlinear and so on, the mode mixing phenomenon may occur in the process of empirical mode de-composition. Ensemble empirical mode decomposition (EEMD) algorithm is introduce random Gaussian white noise sequence in the original signal to change the local time of the signal span, Which can inhibit the mode mixing phenomenon in the process of the conventional empirical mode decomposition. On the basis of the principles of the EEMD, This paper introduced the Amplitude standard deviation criterion to select the EEMD parameters. And for each intrinsic mode function (IMF) components decomposed by correlation coefficient method to extract the effect intrinsic mode component, then through threshold and reconstructing each effective intrinsic mode function. Finally the envelop spectrum of the signal was analyzed, extracted the fault characteristics of the rolling bearings. Simulation and fault signals experimental results show that, EEMD method can be effectively applied to fault diagnosis of rolling bearings.
滚动轴承故障信号具有非平稳、非线性等特点,在经验模态分解过程中可能出现模态混合现象。集成经验模态分解(EEMD)算法是在原始信号中引入随机高斯白噪声序列,改变信号跨度的局部时间,从而抑制传统经验模态分解过程中的模态混叠现象。在EEMD原理的基础上,引入了振幅标准差准则来选择EEMD参数。并通过相关系数法对各本征模态函数(IMF)分量进行分解,提取出有效本征模态分量,然后通过阈值法重构各有效本征模态函数。最后对信号的包络谱进行分析,提取滚动轴承的故障特征。仿真和故障信号实验结果表明,EEMD方法可以有效地应用于滚动轴承的故障诊断。
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引用次数: 3
Co-design of Scheduling and Control for Networked Control Systems with Time-Delay and Communication Constraints 具有时延和通信约束的网络控制系统调度与控制协同设计
Ning Wang, Yong Zhang
Scheduling and controller design problems of networked control systems subject to time-delay and communication constraints are considered in this paper. Firstly, the networked control system with time-delay is modeled as a discrete-switched system with uncertain parameters under the influence of communication sequence scheduling. Then via the average dwell time method of switched systems and Lyapunove functional, the exponential stability of the system is researched. Furthermore, based on LMI algorithm, the scheduling strategy and controller of the networked control system are co-designed and a state feedback control law design algorithm is proposed. Finally, a numerical example is provided to demonstrate the effectiveness of the algorithm.
研究了受时延和通信约束的网络控制系统的调度和控制器设计问题。首先,在通信序列调度的影响下,将具有时滞的网络控制系统建模为具有不确定参数的离散切换系统。然后通过切换系统的平均停留时间法和Lyapunove泛函,研究了系统的指数稳定性。在此基础上,基于LMI算法对网络控制系统的调度策略和控制器进行了协同设计,并提出了一种状态反馈控制律设计算法。最后,通过数值算例验证了算法的有效性。
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引用次数: 2
An Intelligent Mass Spectrometer Vacuum Monitoring System Based on PC104 基于PC104的智能质谱仪真空监测系统
Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li
This paper presents an intelligent vacuum monitoring system for mass spectrometer based on PC104. This system mainly consists of high-speed analog signal acquisition, data filtering based on PIC32, and real-time anti-jamming communication technology. A high-speed AD converter is employed to acquire external physical quantities that are to be monitored. According to the characteristics of AD signal's random disturbance, a moving average filter is used to reduce noise while giving consideration to the real-time request of the system. Afterwards, an error-resilient status transfer mechanism is proposed during communication with the master computer to guarantee transmission reliability. Experimental results show that while possessing good real-time capability and low power consumption, the noise factors of the vacuum and temperature measuring data processed by this filtering algorithm are decreased by 58.4% and 60.2% respectively. Hence, the proposed system satisfies the requirements of real-time monitoring in harsh field condition.
介绍了一种基于PC104的质谱仪真空智能监控系统。该系统主要由高速模拟信号采集、基于PIC32的数据滤波和实时抗干扰通信技术组成。高速模数转换器用于获取要监控的外部物理量。根据AD信号随机干扰的特点,在考虑系统实时性要求的同时,采用移动平均滤波器来降低噪声。在此基础上,提出了与上位机通信时的容错状态传输机制,以保证传输的可靠性。实验结果表明,该滤波算法在实时性好、功耗低的同时,处理后的真空和温度测量数据的噪声系数分别降低了58.4%和60.2%。因此,该系统可以满足恶劣现场条件下实时监测的要求。
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引用次数: 0
ICRS: An Optimized Algorithm to Improve Performance in Distributed Storage System 一种提高分布式存储系统性能的优化算法
Chao Yin, Haitao Lv, Zongmin Cui, Tongfang Li, Lili Rao, Zhi Wang
Erasure codes, such as Reed-Solomn (RS) and CRS Codes, are being extensively deployed in distributed storage system since they offer significantly higher reliability than data replication methods at much lower storage overheads. But RS and CRS codes always impose a huge burden on system's performance while encoding and decoding when they provide significant savings in storage space. This paper puts forward an optimized algorithm named ICRS (Improved CRS) based on erasure coding technology, which is committed to improve the security and the utilization of storage space. By studying existing high reliability and space saving rate of coding technology, we imported coding mechanism into distributed storage systems. We have verified ICRS algorithm by theory analysis and simulation test. Through theory analysis, we can conclude that ICRS algorithm can improve the performance of encoding and decoding because they can shorten the computation times. We apply ICRS algorithm into our storage system model named Robot to test the performance. At the same time, we compare RS codes and CRS codes in Robot. The test results show that decoding speed can rise up nearly two times than the past serial decoding speed.
Erasure code,如Reed-Solomn (RS)和CRS code,在分布式存储系统中得到了广泛的应用,因为它们比数据复制方法具有更高的可靠性和更低的存储开销。但是RS和CRS码在编码和解码过程中往往会给系统带来巨大的性能负担,而这些编码和解码可以节省大量的存储空间。本文提出了一种基于擦除编码技术的优化算法ICRS (Improved CRS),该算法致力于提高安全性和存储空间利用率。通过研究现有的高可靠性、高节省空间的编码技术,将编码机制引入到分布式存储系统中。通过理论分析和仿真测试对ICRS算法进行了验证。通过理论分析,我们可以得出结论,ICRS算法可以提高编码和解码的性能,因为它可以缩短计算时间。我们将ICRS算法应用到我们的存储系统模型Robot中来测试其性能。同时,对Robot中的RS码和CRS码进行了比较。测试结果表明,解码速度比以往的串行解码速度提高了近两倍。
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引用次数: 0
A Multi-objective Optimization Decision Model Assisting the Land-Use Spatial Districting under Hard Constraints 硬约束下辅助土地利用空间区划的多目标优化决策模型
Zeying Lan, Yang Liu
Land-use spatial districting is in essence of a problem with multi-objective optimization decision under hard constraints, this paper constructs a solving model by two core steps: one is to design multi-objective tabu search algorithm, and then design an interactive decision-making support tool. Finally, the method has been tested for farmland consolidation districting. Experimental results show that the approval method can provide scientific and intelligent decision-making support for the formulation and implementation of the regional land-use planning.
土地利用空间区划本质上是一个硬约束下的多目标优化决策问题,本文通过两个核心步骤构建求解模型:一是设计多目标禁忌搜索算法,然后设计交互式决策支持工具。最后,对该方法进行了耕地整理区划试验。实验结果表明,该审批方法可为区域土地利用规划的制定和实施提供科学、智能的决策支持。
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引用次数: 1
Reliability of Headphone Equalization in Virtual Sound Reproduction 虚拟声音再现中耳机均衡的可靠性
Xiaoli Zhong, Bei Shi
Headphone equalization, which is accomplished by multiplying the inverse of headphone-to-ear-canal transfer functions (HpTFs), is necessary in headphone-presented virtual sound reproduction. Therefore, measurement accuracy of HpTFs is vital to guarantee an authentic virtual sound reproduction. To evaluate the perceptual influence of intra-individual differences in HpTF measurements on headphone equalization and hence virtual sound reproduction, repeated measurements of HpTFs were conducted on an artificial head and human subjects, and then were analyzed using perceptual-motivated objective comparisons in three frequency ranges. Moreover, a series of psychoacoustic experiments were carried out. Results indicate that the intra-subject differences in HpTFs are inaudible in any of the frequency ranges, suggesting a single measurement is perceptually adequate to represent the individual HpTF.
耳机均衡是通过乘以耳机到耳道传递函数(hptf)的逆来完成的,这在耳机呈现的虚拟声音再现中是必要的。因此,hptf的测量精度对于保证真实的虚拟声音再现至关重要。为了评估HpTF测量的个体内部差异对耳机均衡和虚拟声音再现的感知影响,在人造头部和人类受试者上重复测量HpTF,然后在三个频率范围内使用感知动机客观比较进行分析。此外,还进行了一系列心理声学实验。结果表明,在任何频率范围内,HpTF的受试者内部差异都是听不到的,这表明单次测量在感知上足以代表个体HpTF。
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引用次数: 0
An Efficient Data Transmission Strategy for Cyber-Physical Systems in the Complicated Environment 复杂环境下信息物理系统的高效数据传输策略
Kaifei Fang, Benhua Guo
Industrial Cyber-Physical Systems are deployed in harsh and noisy environments for process measurement and control applications. Missing or delaying of the process data may severely degrade the overall control performance. Methods compensating for the high probability of bit errors accompanying wireless transmissions in Cyber-Physical Systems are needed. In this paper, a way of combining retransmissions with real-time scheduling analysis is presented. The presented solution handles several retransmission attempts of erroneous data without jeopardizing the guaranteed delay bounds of other packets. A real-time analysis that utilizes the retransmission scheme is provided. A simulation study is presented that evaluates the performance of the retransmission scheme for bit-error rates. The results indicate a possible reduction of the message error rate by several orders of magnitude.
工业信息物理系统部署在苛刻和嘈杂的环境中,用于过程测量和控制应用。过程数据的丢失或延迟可能会严重降低整体控制性能。在信息物理系统中,需要对无线传输中高概率的误码进行补偿。本文提出了一种将重传与实时调度分析相结合的方法。提出的解决方案处理错误数据的多次重传尝试,而不会危及其他数据包的保证延迟界限。提供了一种利用重传方案的实时分析。仿真研究了该重传方案在误码率下的性能。结果表明,可能会将消息错误率降低几个数量级。
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引用次数: 0
A New Stability Analysis Method for Loess Slope Based on Logarithmic Spiral Curve 基于对数螺旋曲线的黄土边坡稳定性分析新方法
Xi-hua Long, Y. Zhao, Ling Yang
To overcome the problem that the approximation error of the slip surface feature is bigger when using traditional methods to analyze the stability of loess slope, a new method is put forward. At first, the mathematical model was used to simplify the slip surface of loess slope as logarithmic spiral shape, and then the formula of stability coefficient was deduced to establish the mechanical analysis model of instability slope. At last, the variable-step optimization algorithm was adopted to calculate the minimum stability coefficient. The application instance shows that using logarithmic spiral curve to fit the slip surface feature can conform with the practical failure characteristic of loess slope closely. The variable-step optimization algorithm proposed can improve both convergence rate and accuracy, and its computation results are exactly consistent with the actual facts of loess slope.
针对传统方法分析黄土边坡稳定性时滑移面特征近似误差较大的问题,提出了一种新的方法。首先利用数学模型将黄土边坡的滑移面简化为对数螺旋形,然后推导稳定系数公式,建立失稳边坡的力学分析模型。最后,采用变步长优化算法计算最小稳定系数。应用实例表明,采用对数螺旋曲线拟合滑面特征能较好地符合黄土边坡的实际破坏特征。所提出的变步长优化算法既提高了收敛速度又提高了精度,其计算结果与黄土边坡的实际情况吻合较好。
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引用次数: 0
ADRC and GA Algorithm for Fixed-Wing UAV 固定翼无人机的自抗扰和遗传算法
Dali Zhou, Qingbo Geng, Baokui Li
This paper puts forward active disturbance rejection control (ADRC) technology in the application of unmanned aerial vehicle (UAV). In order to solve the parameters optimization problem of ADRC, genetic algorithm (GA) is proposed, which does not depend on the experience of human heavily. Whose basic principle is introduced in this paper as well, then it improves the efficiency of parameters optimization. Disturbance is added to the state of flight to reflect the anti-interference ability of this combined algorithm. Finally, the simulation of F16 model is carried out to verify that the improved method has good control preference.
提出了自抗扰控制(ADRC)技术在无人机中的应用。为了解决自抗扰控制器的参数优化问题,提出了一种不太依赖人的经验的遗传算法。本文还介绍了其基本原理,从而提高了参数优化的效率。在飞行状态中加入干扰,以体现该组合算法的抗干扰能力。最后对F16模型进行了仿真,验证了改进方法具有良好的控制偏好。
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引用次数: 2
DOA Analysis of Signal Based on Vanderpol Array 基于Vanderpol阵列的信号DOA分析
Zhenbiao Wei, Yonghe Chen, Xiaobing Lu, Kunpeng Zheng
The smart antenna system using array antenna and array signal processing technique is extended from the traditional frequency domain, the array signal processing has been quite widely applied and developed. The wave phase error has a great influence on uniform linear array direction-of-arrival (DOA) estimation accuracy and resolution. We use the chaos (banderol) uniform linear array element to form the receiving array, the chaotic system is extreme sensitivity of the input signal phase delay. Simulation result show that the chaotic linear array has very good estimation precision, multipath interference can be effectively resisted, and the receiving system has good immunity to non-Gaussian color noise.
采用阵列天线和阵列信号处理技术的智能天线系统是从传统频域扩展而来的,阵列信号处理已经得到了相当广泛的应用和发展。波相位误差对均匀线阵到达方向估计精度和分辨率有很大影响。我们采用混沌(banderol)均匀线性阵列元件组成接收阵列,该混沌系统对输入信号的相位延迟极为敏感。仿真结果表明,混沌线性阵列具有很好的估计精度,能有效抵抗多径干扰,接收系统对非高斯彩色噪声具有良好的抗扰性。
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引用次数: 0
期刊
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics
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