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2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)最新文献

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Fractal analysis of sEMG signal under varying load conditions 不同载荷条件下表面肌电信号的分形分析
M. Chakraborty, Debanjan Parbat
This paper reflects the studies undertaken to understand the complexity of the Electromyography (EMG) signal during biceps muscle contraction (flexion), by estimation of Fractal Dimension using Hurst's Rescaled Range (R/S) analysis. The measurements were done using surface electrodes with necessary signal acquisition circuitry and signal data is collected using sound card of PC through Matlab for data analysis purpose. The signal is also subjected to Frequency Domain techniques to estimate the power generated by muscle under different loading conditions. The Fractal Dimension, as obtained here, is found to vary under different loading conditions. The study of non-linear behavior of the EMG signal under varying loading conditions can lead to significant findings, pertaining to time based monitoring of muscle rehabilitation and endurance in a quantitative way.
本文反映了通过使用Hurst's rescale Range (R/S)分析估计分形维数来理解二头肌收缩(屈曲)过程中肌电(EMG)信号复杂性的研究。测量采用表面电极,配以必要的信号采集电路,利用PC机声卡通过Matlab采集信号数据,进行数据分析。信号还经过频域技术来估计肌肉在不同载荷条件下产生的功率。这里得到的分形维数在不同的加载条件下是不同的。对不同负荷条件下肌电信号的非线性行为的研究可以导致重要的发现,涉及以定量的方式基于时间监测肌肉康复和耐力。
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引用次数: 3
An automated SCADA based system for identification of induction motor bearing fault used in process control operation 基于SCADA的异步电机过程控制故障自动识别系统
S. Mitra, C. Koley
Current paper proposes a system for identifying bearing faults of a 3-phase induction motor operated in process control application along with the presence of other source of vibration, in the same process. Different types of bearing fault identification techniques have been discussed in literature with the analysis of time domain, frequency domain and time-frequency domain based features. The proposed methods were examined under laboratorial set-up keeping rotating speed and or load variation remains unchanged. And the practical situations of external vibrational effect and noises from various sources of process plant also have not been considered in a vast way. This paper delivers a brief idea of the identification of bearing faulty harmonics which are collected by accelerometer during running condition under random variation of both, speed and load of the motor with the presence of non-stationary external vibrations. The study also revealed that, faulty bearing can be identified from the vibration signal, by programming the PLC based system to collect vibration data only when process enters into some predefined situation, and thereafter by analyzing the vibration amplitude using standard deviation the faulty bearing can be identified.
本文提出了一种过程控制应用中三相异步电动机轴承故障识别系统,该系统在同一过程中存在其他振动源。文献中讨论了不同类型的轴承故障识别技术,分析了基于时域、频域和时频域的特征。所提出的方法在实验室设置下进行了测试,保持转速和负载变化不变。而工艺装置的外部振动效应和各种噪声源的实际情况也没有得到广泛的考虑。本文简要介绍了在电机转速和负载随机变化、外部振动不稳定的情况下,加速度计采集的轴承故障谐波的识别方法。研究还表明,故障轴承可以从振动信号中识别出来,通过编程基于PLC的系统,只有当过程进入预定状态时才采集振动数据,然后使用标准差分析振动幅值来识别故障轴承。
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引用次数: 8
Steady state and transient stability analysis of wind energy system 风电系统稳态与暂态稳定性分析
Ashwini M. Patil, A. Thosar
The stochastic nature of the wind causes various mechanical and electrical faults. It results the fluctuations in the output power. The high turbulence causes the dynamic loading of the drive train. To investigate the performance of the wind energy system its steady state and transient stability must be studied. This paper discuses the mathematical modeling of the wind energy system. With increase in size of wind turbines the shaft stiffness, viscous friction coefficient, drive train gear ratio and generator inertia constant have influence on the transient response of wind energy systems. The steady state and transient stability analysis with pole-zero study has been done by considering these four parameters. The severity of faults is studied in detail. This study intends the designing of fault tolerant control system in future.
风的随机性会导致各种机械和电气故障。它会导致输出功率的波动。高湍流度引起传动系统的动负荷。为了研究风能系统的性能,必须对其稳态和暂态稳定性进行研究。本文讨论了风能系统的数学建模问题。随着风力发电机组尺寸的增大,轴刚度、粘性摩擦系数、传动系传动比和发电机惯性常数对风力发电系统的瞬态响应有较大影响。考虑这四个参数,进行了稳态和暂态稳定分析。详细研究了断层的严重程度。本研究为今后设计容错控制系统打下了基础。
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引用次数: 7
Performance analysis of a three-phase SISFCL with the variation of circuit parameters using jiles atherton hysteresis model 利用jiles atherton滞回模型分析三相SISFCL随电路参数变化的性能
A. Upadhyaya, D. Sarkar, A. B. Choudhury, D. Roy
In modern electrical power systems, Saturated Iron-Core Superconducting Fault Current Limiters (SISFCL) are becoming ever popular on account of their ability to instantaneously and reliably detect and limit the high magnitude fault current caused by short circuit faults. The SISFCL accomplishes this by altering the magnetic state of its ferromagnetic core material between saturation and unsaturation, thereby producing low impedance during normal operation and high impedance during faulted condition. In this paper, the mathematical model of a three-phase SISFCL is simulated using numerical methods in the MATLAB software environment. The effect of magnetic hysteresis of the core material is incorporated in the simulation via the Jiles-Atherton hysteresis model. The performance of the SISFCL is analysed against variations of the different circuit parameters namely, the fault resistance, DC bias current, number of turns of the AC and DC coil winding.
在现代电力系统中,饱和铁芯超导故障限流器(SISFCL)由于能够实时、可靠地检测和限制短路故障引起的大量级故障电流而受到越来越多的关注。SISFCL通过改变铁磁磁芯材料在饱和和不饱和之间的磁性状态来实现这一点,从而在正常工作时产生低阻抗,在故障状态时产生高阻抗。本文在MATLAB软件环境下,采用数值方法对三相SISFCL的数学模型进行了仿真。通过Jiles-Atherton磁滞模型将磁芯材料的磁滞效应纳入仿真。根据不同的电路参数,即故障电阻、直流偏置电流、交直流线圈绕组匝数的变化,分析了SISFCL的性能。
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引用次数: 4
A new RBFN with modified optimal clustering algorithm for clear and occluded fingerprint identification 基于改进最优聚类算法的RBFN识别清晰和遮挡指纹
Sumana Kundu, G. Sarker
In this present paper, a Radial Basis Function Network (RBFN) based on Modified Optimal Clustering Algorithm (MOCA) have been developed for clear and occluded fingerprint identification. Unlike conventional OCA technique which only considers intra cluster similarity for performing the desired number of clusters, MOCA combines both intra and inter cluster similarity while grouping such that not only the desired numbers of clusters or groups are formed, but also no misclassification is formed within any group. The approach of using MOCA within Modified RBFN for performing learning and identification of the different fingerprints is effective and efficient. Also the performance evaluation with accuracy, precision, recall and F-score of the classifier are quiet high and the learning time of fingerprints are quite low.
本文提出了一种基于改进最优聚类算法(MOCA)的径向基函数网络(RBFN),用于清晰和遮挡的指纹识别。与传统的OCA技术只考虑簇内相似度来实现期望的簇数不同,MOCA在分组时结合了簇内和簇间相似度,这样不仅形成了期望的簇或组数,而且在任何组内都不会形成错误分类。在改进的RBFN中使用MOCA对不同指纹进行学习和识别的方法是有效的。分类器的准确率、精密度、查全率和f分的性能评价较高,指纹学习时间较短。
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引用次数: 3
Effect of Matrix Converter on the speed control scheme of a grid connected Doubly-Fed induction generator system 矩阵变换器对并网双馈感应发电机系统转速控制方案的影响
A. Basak, K. Mukherjee, P. Syam
Matrix Converter (MC) is a kind of solid state direct frequency changer without any additional large reactive elements. The paper discusses the effect of this MC on a speed control system of a Doubly Fed Induction Generator (DFIG) connected to a grid where the rotor side voltage is controlled using it. The modulation of matrix converter is based on Space vector modulation with indirect transfer function (ITF) approach. Advantages as well as limitations with this MC are discussed in details. The effect on the control signals derived from the rotor terminal quantities is illustrated with relevant waveforms. Finally it is concluded that the control system can operate satisfactorily although the control signals contain small magnitudes of high frequency distortion components.
矩阵变换器(MC)是一种不需要任何额外的大型无功元件的固态直接变频器。本文讨论了该MC对并网双馈感应发电机(DFIG)转速控制系统的影响,并利用该MC控制转子侧电压。矩阵变换器的调制是基于间接传递函数(ITF)方法的空间矢量调制。详细讨论了该MC的优点和局限性。用相应的波形说明了转子端子量对控制信号的影响。最后得出结论,尽管控制信号中含有小幅度的高频失真分量,但控制系统仍能令人满意地运行。
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引用次数: 2
A novel scheme for Bengali handwriting recognition based on morphological operations with adaptive auto-generated structuring elements 一种基于自适应自动生成结构元素的形态操作的孟加拉文手写识别新方案
Priyanka Das, Tanmoy Dasgupta, S. Bhattacharya
This paper proposes a novel scheme for recognising Bengali handwritten numerals using mathematical morphology. The numerals are broadly classified into two groups based on the presence and position of blobs and stems in them. Since different writing styles are used by different persons, morphological operations with the same structuring elements (SEs) do not yield satisfactory result. Thus, this paper proposes a scheme for automatic generation of SEs based on common handwriting styles. Also the SEs are scaled automatically according to the size of the handwritten digits in order to make the algorithm more robust and efficient. Since, this method does not require any kind of `learning' to work, it is considerably faster than other machine learning based algorithms. Also, it does not require training samples. The present algorithm is tested on a large database of Bengali handwritten digits and its performance and accuracy are also determined.
本文提出了一种利用数学形态学识别孟加拉手写数字的新方案。根据数字中斑点和茎的存在和位置,数字大致分为两组。由于不同的人使用不同的写作风格,相同的结构元素(SEs)的形态操作不能产生令人满意的结果。因此,本文提出了一种基于常用手写样式的se自动生成方案。此外,为了提高算法的鲁棒性和效率,还根据手写数字的大小自动缩放se。由于这种方法不需要任何形式的“学习”,因此它比其他基于机器学习的算法要快得多。此外,它不需要训练样本。在一个大型孟加拉手写体数字数据库上对该算法进行了测试,并对算法的性能和准确率进行了测试。
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引用次数: 7
Analysis and synthesis of state models involving jump discontinuities in hybrid functions (HF) domain 混合函数域跳跃不连续状态模型的分析与综合
S. R. Choudhury, A. Deb, G. Sarkar
Jump discontinuities in control systems pose difficulties in mathematical modeling. This paper uses a set of orthogonal hybrid functions (HF) for analysing and identifying control systems with jump discontinuities. But with traditional hybrid function theory, the results obtained are not quite satisfactory. To obtain a more accurate as well as reliable result, a modified version of the hybrid function set is attempted to design a new theory. With this new theory, jump functions are approximated in a better manner and subsequently these principles are applied for the analysis and synthesis of control systems described by their state models. Relevant examples are treated and results are found to be far more acceptable than those obtained using traditional hybrid functions.
控制系统中的跳变不连续给数学建模带来了困难。本文利用一组正交混合函数(HF)对具有跳变不连续的控制系统进行分析和辨识。但采用传统的混合函数理论,得到的结果并不令人满意。为了得到更准确、更可靠的结果,本文试图通过对混合函数集的改进来设计一种新的理论。该理论可以较好地逼近跳跃函数,并将其应用于由状态模型描述的控制系统的分析和综合。对相关的算例进行了处理,结果比使用传统的混合函数得到的结果更令人接受。
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引用次数: 0
Study of a modified IR defusing surface as a uniform source and its application as non-contact level sensor 一种改进型红外消光面作为均匀源及其在非接触式液位传感器中的应用研究
S. Chakraborty, N. Mandal, S. C. Bera
Defusing light is the light reflection from a non uniform surface so that after reflection the light rays can move in different directions. Defusing light with uniform intensity in all direction is very important in various applications. In the present paper, design of a modified defusing surface for uniform IR light has been studied and the effect of new base plate material that surface on intensity of diffused IR light has been observed. Application of this modified diffusing surface in developing a non contact level sensor using float as the sensing element has also been observed as in [8]. Mathematical equations explaining the principle of operation of the sensor are identical to those in [8] and are applied in the present work. The sensor with the modified defusing surface has been experimentally studied. Experimental results almost identical to those in [8] are reporter in the paper.
消光是从非均匀表面反射的光,反射后光线可以向不同方向移动。在各种应用中,在各个方向上具有均匀强度的光散射是非常重要的。本文研究了一种改进型均匀红外光消光表面的设计,并观察了该表面的新型基片材料对红外光散射强度的影响。这种改进的扩散表面在开发以浮子为传感元件的非接触式液位传感器中的应用也被观察到,如在[8]中。解释传感器工作原理的数学方程与[8]中的相同,并应用于本工作。实验研究了改进型消熔面传感器。实验结果与[8]基本一致。
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引用次数: 0
Development of remote monitoring analysis and reporting system for industrial machines 工业机械远程监控分析报告系统的开发
J. Datta, J. Bera, S. Chowdhuri
This paper deals with the software development for a remote monitoring of industrial machines with the features of analysis of the machine data to detect any abnormality in their operations and generating a report according to this analysis. A set of software tools is thus developed for this diagnostic system with the primary objective is to detect any incipient faults those are being cropped up and are becoming severe with time. Motor Current Signature Analysis (MCSA), sequence component analysis etc. types of tool are utilized to detect any incipient fault. The front end GUI (Graphical User Interface) displays the running conditions of the machines of this multi-machine monitoring system along with a list of maintenance schedule while the back end Management Information Base (MIB) controls all the data collection, interfacing of GSM modem for sending SMS for the faulty machine information and sends the control action for the machine(s). Hybrid Data Compression scheme is utilized to make the system communication efficient as well as secured one. The developed system is tested with two/three machine in our laboratory.
本文介绍了一种工业机器远程监控软件的开发,该软件的特点是对机器数据进行分析,以检测机器运行中的异常情况并根据分析结果生成报告。因此,为该诊断系统开发了一套软件工具,其主要目标是检测任何正在出现并随着时间的推移而变得严重的早期故障。电机电流特征分析(MCSA)、序列分量分析等工具被用于检测任何早期故障。前端GUI (Graphical User Interface,图形用户界面)显示多机监控系统中各机器的运行状况以及维护计划列表,后端管理信息库MIB (Management Information Base)控制所有数据采集,GSM modem接口用于发送故障机器信息的短信,并发送对机器的控制动作。采用混合数据压缩方案,保证了系统的通信效率和安全性。所开发的系统在实验室用二/三台机器进行了测试。
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引用次数: 4
期刊
2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)
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