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检索条件"主题词=detection algorithms"

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Evaluation and performance comparison of power swing detection algorithms

Evaluation and performance comparison of power swing detecti...

引用

IEEE General Meeting Power& Energy Society

作者： H. Khoradshadi-Zadeh Dept. of Electr. Eng. Birjand Univ. Iran

This paper presents performance comparisons and evaluations of several power swing detection algorithms. Any sudden change in the configuration or the loading of an electrical network causes power swing between the load concentrations of the network. In order to prevent the distance protection from tripping during such conditions, a power swing blocking is utilized. The decreasing impedance, the Vcos/spl phi/ and the superimposed currents methods are conventional algorithms for power swing detection. In this paper, the behavior of these algorithms is evaluated. Different conditions have been generated by EMTDC software and voltage and current waveforms have been given to the power swing detectors. Operation of the power swing detectors has been investigated for different conditions and the operation of different algorithms are compared.

关键词： detection algorithms Protective relaying Power system relaying Impedance Power system simulation Voltage Power system protection Power system faults Power system modeling Circuit faults

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Review Over Anomaly detection algorithms for Detecting SYN Flooding Attacks

Review Over Anomaly Detection Algorithms for Detecting SYN F...

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Student Conference on Engineering Sciences and Technology, SCONEST

作者： Riaz A. Shaikh Ahmad Ali Iqbal Kashan Samad Institute of Information Technology NUST Institute of Information and Technology Rawalpindi Pakistan

Network anomalies usually refer to the conditions when network operations diverge from the normal behavior. Anomaly detection in an IP network is a very complex task, because it is dependent upon the nature of the data that is available for the analysis. In this paper we have given the overview of two statistical based anomaly detection algorithms that are adaptive threshold algorithm and cumulative SUM algorithm especially with respect to the anomaly that is occurred due to SYN flooding attacks. In the case of high intensity SYN flooding attacks both were good and have less false alarm ratio where as in the case of low intensity attacks adaptive threshold algorithm performance degrade and shows high false alarm where as in the case of cumulative sum algorithm its performance remain same with lesser false alarm ratio.

关键词： detection algorithms Floods Computer crime File servers Broadcasting Telecommunication traffic IP networks Protocols Storms Network servers

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Applications of robust failure detection algorithms to power systems

Applications of robust failure detection algorithms to power...

引用

International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： K.J. Drake S.L. Campbell I.V. Andjelkovic B.L. Hannas K.A. Sweetingham Carderock Division Naval Surface Warfare Center Philadelphia USA North Carolina State University USA

As modelling and simulation become increasingly popular in the design process and as an alternative to expensive testing, fault detection methods based on model identification algorithms become more reliable as well as less expensive and easier to implement. In this paper we discuss the application of two active fault detection algorithms based on model identification to power systems. The algorithms are similar in theory though differ in implementation. The first is a direct optimization approach that handles more general systems and more varied constraints. It requires more sophisticated software but it's easily adapted to more than two models. The second algorithm is a constrained control approach that can be implemented on common math software, such as Matlab or Scilab, and handles model uncertainty. In both cases, the algorithms are free of false alarms depending upon the quality of the models used

关键词： Robustness detection algorithms Power systems Power system modeling Mathematical model Power system reliability Power system faults Power system simulation Electrical fault detection Fault diagnosis

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Comparison of three change detection algorithms for an electronics manufacturing process

Comparison of three change detection algorithms for an elect...

引用

IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)

作者： M. Ruusunen M. Paavola M. Pirttimaa K. Leiviska Control Engineering Laboratory University of Oulu Oulun yliopisto Finland Nokia Corporation Oulu Finland VTI Technologies Helsinki Finland

In a sequential manufacturing process, a product proceeds through different manufacturing stages. At these stages, sensors monitor the features of the product. In this paper, the information produced by the sensors is employed to detect abrupt changes in process variables. The developed algorithms contribute to an on-line application to a manufacturing system. A literature survey revealed the most common methods utilized in change detection. On-line applicability and transferability to new manufacturing lines are the most important features for real applications. During both on-line and off-line tests, some of the presented methods showed satisfactory results. Real-time, on-line manufacturing environment sets also its requirements for the applications. In the future, the possibility of combining expert knowledge with the aforementioned methods is the crucial point to study. The information thus received has usage in the preventive maintenance and quality control.

关键词： detection algorithms Manufacturing processes Testing Quality control Change detection algorithms Monitoring Preventive maintenance Event detection Signal processing Image edge detection

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Segmentation of spectrum map for HFSWR based on feature extraction

Segmentation of spectrum map for HFSWR based on feature extr...

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1st International Congress on Image and Signal Processing

作者： Li, Yang Zhang, Ning Yang, Qiang Harbin Inst Technol Res Inst Elect Engn Harbin 150006 Peoples R China

ISBN: (纸本)9780769531199

When targets fall in different types of clutter and noise background in High Frequency Surface Wave Radar (HFSWR), uniform detection algorithms always result in poor detection and tracking performances. To solve the problem, two methods are proposed in this paper by extracting the background features according to the probability distribution and the image characteristic of the spectrum map. The first method uses Parzen window for estimating probability density function and Kullback-Leibler convergence for evaluating the difference between the Azimuth-Range-Doppler cells in spectrum map which can be used to distinguish the homogenous detection background from the non-homogenous. The second method is proposed based on the image edge feature in multi-scale space. The real data results about HFSWR show that the proposed methods can not only identify noise/clutter but also help choose appropriate detection/tracking algorithms to improve performances in such complex environments.

关键词： Feature extraction Radar tracking Background noise Frequency Surface waves Radar clutter Radar imaging detection algorithms Radar detection Target tracking

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On failure detection algorithms in overlay networks

On failure detection algorithms in overlay networks

引用

IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： S.Q. Zhuang D. Geels I. Stoica R.H. Katz

One of the key reasons overlay networks are seen as an excellent platform for large scale distributed systems is their resilience in the presence of node failures. This resilience rely on accurate and timely detection of node failures. Despite the prevalent use of keep-alive algorithms in overlay networks to detect node failures, their tradeoffs and the circumstances in which they might best he suited is not well understood. In this paper, we study how the design of various keep-alive approaches affect their performance in node failure detection time, probability of false positive, control overhead, and packet loss rate via analysis, simulation, and implementation. We find that among the class of keep-alive algorithms that share information, the maintenance of backpointer state substantially improves detection time and packet loss rate. The improvement in detection time between baseline and sharing algorithms becomes more pronounced as the size of neighbor set increases. Finally, sharing of information allows a network to tolerate a higher churn rate than baseline.

关键词： detection algorithms Intelligent networks Routing Resilience Telecommunication traffic Large-scale systems Probes Performance loss Failure analysis Performance analysis

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detection algorithm of series arc for electrical fire prediction

Detection algorithm of series arc for electrical fire predic...

引用

International Conference on Condition Monitoring and Diagnosis, CMD

作者： Dae-won Park Il-kwon Kim Su-yeon Choi Gyung-suk Kil Korea Maritime University Busan South Korea

ISBN: (纸本)9781424416219

In this paper, we studied on the detection of series arcing which is a main cause of electrical fires in low-voltage indoor wiring system. To distinguish series arcing state from normal one, we proposed a detection method based on that the magnitude of arc voltage included in AC voltage varies at random during series arcing. We designed and fabricated a high-pass filter with the low cut-off frequency of 3 kHz to attenuate AC voltage by -80 dB or below, and to pass arc voltage without distortion. Also, a phase shift algorithm which eliminates the periodic component of arc voltage was used for nonlinear loads like incandescent lamps controlled by a dimmer.

关键词： detection algorithms Fires Wiring Voltage Filters Protection Phase measurement Lamps Circuit breakers Conducting materials

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A near optimum joint detection and decoding algorithm for MIMO-OFDM channels

A near optimum joint detection and decoding algorithm for MI...

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International Symposium on Wireless Pervasive Computing (ISWPC)

作者： Ebrahim Karami Markku Juntti Centre for Wireless Communications CWC University of Oulu Oulu Finland

In this paper, a joint detection and decoding algorithm is proposed for the spatial multiplex multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) channels. In the spatial multiplexed MIMO-OFDM channels, if enough cyclic prefix (CP) at least equal to the channel length is used, inter symbol interference is completely canceled and consequently spatial multiplexing interference (SMI) is the main limiting factor on the performance [4]. Optimum SMI cancellation is more complex for practically usage. In this paper, a novel technique is proposed to approach to the performance of the optimum algorithm in much lower complexity. The proposed algorithm is based on a modified soft partially parallel interference cancellation (SPPIC) technique where, in each iteration, a part of the SMI proportional to the probability of the correct estimation in the last iteration, is cancelled. The output of this soft joint detector is fed to a turbo decoder. In the first iteration of the decoding, the probability of the correctness is calculated approximately assuming the correct estimation for other sub-streams in the last iteration and in the next iterations, it is updated using the output LLR of the turbo decoder. The proposed modified SPPIC algorithm is simulated and compared to the minimum mean square of error (MMSE), interference free case (lower bound), and SPPIC algorithms for 4 states frac12 turbo code in 4times4 MIMO OFDM channel assuming Micro cell Winner channel model considering 64 and 512 sub-carriers. Bit error rate (BER) and frame error rate (FER) are considered as comparison criteria and it is shown that the performance of the new algorithm is much better than MMSE algorithm and is very close to the interference-free lower bound.

关键词： Interference cancellation MIMO OFDM Iterative decoding Maximum likelihood decoding Diversity methods Bit error rate Maximum likelihood estimation detection algorithms Wireless communication

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A Novel Adaptive detection Algorithm Jointly Utilizing Channel Estimation for MIMO System in Continuous Flat Fading Channels

A Novel Adaptive Detection Algorithm Jointly Utilizing Chann...

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IEEE International Conference on Circuits and Systems for Communications (ICCSC)

作者： Yang Gao Hongming Zheng Feng Zhou Yongkang Gao Xiaoyun Wu CTL Intel Beijing China CTL intel Beijing EE BUPT Beijing EE BUPT Beijing China

The Vertical Bell Laboratories Layered Space-Time (V-BLAST) system can provide high capacity over rich scattering channel. The conventional minimum mean square error (MMSE) detection for V-BLAST is not suitable for time-varying channel due to high complexity. In the paper, we proposed an adaptive detection algorithm, which combines maximum likelihood (ML) channel estimator and least mean squares (LMS) algorithm together. The proposed adaptive methodology can also be used in the base station (BS) of the MIMO-MU system, where the V-BLAST adaptive receiver and the transmitting preprocessing technique are jointly designed in BS with MIMO-MU detection over time-varying channels. From the simulations, we can see the proposed detection method can outperform the conventional MMSE detection with lower complexity.

关键词： detection algorithms Channel estimation MIMO Fading Time-varying channels Maximum likelihood estimation Scattering Mean square error methods Maximum likelihood detection Least squares approximation

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Power System Transient Instability detection Algorithm Based on Real Time Measurement

Power System Transient Instability Detection Algorithm Based...

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IEEE Asia-Pacific Conference on Circuits and Systems

作者： Bao-Hui Zhang Huan Xie Guang-liang Yu Peng Li Z.Q. Bo A. Klimek School of Electrical Engineering Xi'an Jiaotong University Xi'an China Automation & Information Systems AREVA T and D Inc. Stanford USA

In this paper, a method is proposed for fast and accurate online detection of transient instability based on real-time measurement. The cluster of critical machines is determined and refreshed at each time. Determination of the irrevocable loss of synchronism is made based on the geometric characteristic of critical machines trajectory. Unlike the previous extended equal-area criterion method, it is unnecessary to calculate the unstable equilibrium point. The speed of algorithm is fast enough to prevent system from transient instability. Simulations are carried out on the IEEE 50 generator test system and a real power system. The results indicate that the proposed method has the features of reliability and effectiveness in identifying the loss of synchronism with inter-area mode.

关键词： Power system transients detection algorithms Real time systems Power measurement Power system stability Power system reliability Open loop systems Communication system control Control systems Electric variables measurement

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