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Journal articles on the topic 'Outage Detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Yu, Peng, Fanqin Zhou, Tao Zhang, Wenjing Li, Lei Feng, and Xuesong Qiu. "Self-Organized Cell Outage Detection Architecture and Approach for 5G H-CRAN." Wireless Communications and Mobile Computing 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6201386.

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An attractive architecture called heterogeneous cloud radio access networks (H-CRAN) becomes one of the important components of 5G networks, which can provide ubiquitous high-bandwidth services with flexible network construction. However, massive access nodes increase the risk of cell outages, leading to negative impact on user-perceived QoS (Quality of Service) and QoE (Quality of Experience). Thus, cell outage management (COM) became a key function proposed in SON (Self-Organized Networks) use cases. Based on COM, cell outage detection (COD) will be resolved before cell outage compensation (

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2

Stepanov, P. A. "APPLICATION OF COMPUTATIONAL MODELS TO DETECTION OF OUTAGE REASONS IN CLOUD INFRASTRUCTURES." Informatization and communication, no. 3 (May 24, 2019): 108–11. http://dx.doi.org/10.34219/2078-8320-2019-10-3-108-111.

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Goal. Monitoring of technical status is one of the most important tasks in modern cloud infrastructures. One of the most popular solution is providing list of currently known outages to operator; that might be inconvenient in case of necessity to detect reason of multiple dependant outages. Thus it is necessary to inform operators how outages are related to each other. Materials and methods. The paper proposes monitoring of cloud infrastructure based upon comparison between their functioning metrics and golden model. It also proposes usage of Tyugu’s computational modes for defining this golde

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3

Turkka, Jussi, Fedor Chernogorov, Kimmo Brigatti, Tapani Ristaniemi, and Jukka Lempiäinen. "An Approach for Network Outage Detection from Drive-Testing Databases." Journal of Computer Networks and Communications 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/163184.

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A data-mining framework for analyzing a cellular network drive testing database is described in this paper. The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. The essence of the method is to find similarities between periodical network measurements and previously known outage data. For this purpose, diffusion maps dimensionality reduction and nearest neighbor data classification methods are utilized. The method is cognitive because it requires training data for the outage detection. In

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4

Xue, Wenqian, Hengzhi Zhang, Yong Li, Dong Liang, and Mugen Peng. "Cell Outage Detection and Compensation in Two-Tier Heterogeneous Networks." International Journal of Antennas and Propagation 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/624858.

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Heterogeneous networks (HetNets) can increase network capacity through complementing the macro-base-station with low-power nodes, in response to the ongoing exponential growth in data traffic demand. While, unprecedented challenges exist in the planning, optimization, and maintenance in HetNets, especially activities such as cell outage detection and mitigation are labor-intensive and costly. One potential solution to address these issues is to introduce the extensively attracted self-organizing network (SON). This paper is mainly devoted to cell outage detection and compensation methods in tw

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5

Chen, Yu Christine, Taposh Banerjee, Alejandro D. Dominguez-Garcia, and Venugopal V. Veeravalli. "Quickest Line Outage Detection and Identification." IEEE Transactions on Power Systems 31, no. 1 (2016): 749–58. http://dx.doi.org/10.1109/tpwrs.2015.2394246.

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6

Srikumar M.S., T. Ananthapadmanbha, Faraz Zafar Khan, and Girish V. "Line Outage Detection Using Phasor Measurement Units." Procedia Technology 21 (2015): 88–95. http://dx.doi.org/10.1016/j.protcy.2015.10.014.

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7

Tate, Joseph Euzebe, and Thomas J. Overbye. "Line Outage Detection Using Phasor Angle Measurements." IEEE Transactions on Power Systems 23, no. 4 (2008): 1644–52. http://dx.doi.org/10.1109/tpwrs.2008.2004826.

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8

de-la-Bandera, I., R. Barco, P. Munoz, and I. Serrano. "Cell Outage Detection Based on Handover Statistics." IEEE Communications Letters 19, no. 7 (2015): 1189–92. http://dx.doi.org/10.1109/lcomm.2015.2426187.

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9

Samudrala, Ananth Narayan, M. Hadi Amini, Soummya Kar, and Rick S. Blum. "Distributed Outage Detection in Power Distribution Networks." IEEE Transactions on Smart Grid 11, no. 6 (2020): 5124–37. http://dx.doi.org/10.1109/tsg.2020.2999921.

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10

Obodoagwu, Nkem Francis. "Analysis of Line Outage Detection in Nigeria 330kV Transmission Lines using Phasor Measurement Units." Journal of Advances in Science and Engineering 2, no. 3 (2019): 1–81. http://dx.doi.org/10.37121/jase.v2i3.68.

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In this work, an analysis of line outage detection in Nigeria 330kV transmission lines using Phasor Measurement Units was presented. This requires collection and analysis of the data obtained from Transmission Company of Nigeria with the aid of PSAT 2.10.1 / MATLAB SIMULINK using Newton-Raphson power flow algorithm and also to determine the effectiveness of PMU when introduced in our power system network. 12 buses and 3 Generators system were considered for the studied. This was achieved by collecting relevant transmission parameters for 330kV line and was simulated on PSAT 2.10.1 and MATLAB 2

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11

Wastian, Matthias, Michael Landsiedl, and Felix Breitenecker. "A Soft Computing Model for Server Outage Detection." SNE Simulation Notes Europe 25, no. 1 (2015): 27–34. http://dx.doi.org/10.11128/sne.25.tn.10277.

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12

Sun, Haifeng, Zhaoyu Wang, Jianhui Wang, Zhen Huang, NichelleLe Carrington, and Jianxin Liao. "Data-Driven Power Outage Detection by Social Sensors." IEEE Transactions on Smart Grid 7, no. 5 (2016): 2516–24. http://dx.doi.org/10.1109/tsg.2016.2546181.

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13

Polster, Stefan, Herwig Renner, Robert Schürhuber, and Katrin Friedl. "On WAMS-based emergency outage detection using optimization." International Journal of Electrical Power & Energy Systems 131 (October 2021): 107006. http://dx.doi.org/10.1016/j.ijepes.2021.107006.

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14

Hyoung-Soo Kim, Jing Wang, Peili Cai, and Shuguang Cui. "Detection Outage and Detection Diversity in a Homogeneous Distributed Sensor Network." IEEE Transactions on Signal Processing 57, no. 7 (2009): 2875–81. http://dx.doi.org/10.1109/tsp.2009.2020037.

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15

Rovatsos, Georgios, Xichen Jiang, Alejandro D. Dominguez-Garcia, and Venugopal V. Veeravalli. "Statistical Power System Line Outage Detection Under Transient Dynamics." IEEE Transactions on Signal Processing 65, no. 11 (2017): 2787–97. http://dx.doi.org/10.1109/tsp.2017.2673802.

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16

Milišić, Mirza, Mirza Hamza, and Mesud Hadžialić. "BEP/SEP and Outage Performance Analysis of -Branch Maximal-Ratio Combiner for Fading." International Journal of Digital Multimedia Broadcasting 2009 (2009): 1–8. http://dx.doi.org/10.1155/2009/573404.

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Maximal-ratio combiner (MRC) performances in fading channels have been of interest for a long time, which can be seen by a number of papers concerning this topic. In this paper we treat bit error probability (BEP), symbol error probability (SEP) and outage probability of MRC in presence of fading. We will present fading model, probability density function (PDF), and cumulative distribution function (CDF). We will also present PDF, CDF, and outage probability of theL-branch MRC output. BEP/SEP will be evaluated for broad class of modulation types and for coherent and noncoherent types of detect

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17

Kurz, F., D. Rosenbaum, H. Runge, D. Cerra, G. Mattyus, and P. Reinartz. "LONG-TERM TRACKING OF A SPECIFIC VEHICLE USING AIRBORNE OPTICAL CAMERA SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 521–25. http://dx.doi.org/10.5194/isprs-archives-xli-b2-521-2016.

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In this paper we present two low cost, airborne sensor systems capable of long-term vehicle tracking. Based on the properties of the sensors, a method for automatic real-time, long-term tracking of individual vehicles is presented. This combines the detection and tracking of the vehicle in low frame rate image sequences and applies the lagged Cell Transmission Model (CTM) to handle longer tracking outages occurring in complex traffic situations, e.g. tunnels. The CTM model uses the traffic conditions in the proximities of the target vehicle and estimates its motion to predict the position wher

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18

Chen, Chen, Jianhui Wang, and Hao Zhu. "Effects of Phasor Measurement Uncertainty on Power Line Outage Detection." IEEE Journal of Selected Topics in Signal Processing 8, no. 6 (2014): 1127–39. http://dx.doi.org/10.1109/jstsp.2014.2333493.

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19

Qi, Yuan, and Rongrong Qian. "Complexity Outage Probability of MIMO Detection in Multiple-User Scenario." IEEE Signal Processing Letters 20, no. 12 (2013): 1147–50. http://dx.doi.org/10.1109/lsp.2013.2283091.

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20

Cao, Ning, Yuchang Ye, and Minghe Mao. "The Effect of Misdetection Probability on the Performance of Cooperative-Relaying-Based Cognitive Radio Systems." Mobile Information Systems 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/1051632.

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Cognitive radio (CR) is a promising solution to address the more and more congested radio spectrum. Cooperative relaying can provide a better transmission performance for the secondary user (SU), while the performance of the primary user (PU, also named licensed user) should be preferentially protected especially when there is misdetection probability. In this paper, in order to keep the PU away from outage caused by the interference from the SU under a certain signal-to-noise ratio (SNR), the maximum SNR for the SU can be derived by using the rate decaying factor (RDF). Then, based on the max

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21

Kurz, F., D. Rosenbaum, H. Runge, D. Cerra, G. Mattyus, and P. Reinartz. "LONG-TERM TRACKING OF A SPECIFIC VEHICLE USING AIRBORNE OPTICAL CAMERA SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 521–25. http://dx.doi.org/10.5194/isprsarchives-xli-b2-521-2016.

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In this paper we present two low cost, airborne sensor systems capable of long-term vehicle tracking. Based on the properties of the sensors, a method for automatic real-time, long-term tracking of individual vehicles is presented. This combines the detection and tracking of the vehicle in low frame rate image sequences and applies the lagged Cell Transmission Model (CTM) to handle longer tracking outages occurring in complex traffic situations, e.g. tunnels. The CTM model uses the traffic conditions in the proximities of the target vehicle and estimates its motion to predict the position wher

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22

Vijay, R. "Transmission Line Outage Detection and Identification by Communal Spider Optimization Algorithm." CVR Journal of Science & Technology 14, no. 01 (2018): 38–42. http://dx.doi.org/10.32377/cvrjst1408.

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23

Bashkari, Mohammad Sadegh, Ashkan Sami, and Mohammad Rastegar. "Outage Cause Detection in Power Distribution Systems Based on Data Mining." IEEE Transactions on Industrial Informatics 17, no. 1 (2021): 640–49. http://dx.doi.org/10.1109/tii.2020.2966505.

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24

Nie, Shihao, Li Ding, and Wenqu Li. "Multiple Line-Outage Detection in Power System With Load Stochastic Perturbations." IEEE Transactions on Circuits and Systems II: Express Briefs 67, no. 10 (2020): 1994–98. http://dx.doi.org/10.1109/tcsii.2019.2940095.

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25

Alias, Multazamah, Navrati Saxena, and Abhishek Roy. "Efficient Cell Outage Detection in 5G HetNets Using Hidden Markov Model." IEEE Communications Letters 20, no. 3 (2016): 562–65. http://dx.doi.org/10.1109/lcomm.2016.2517070.

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26

Babakmehr, Mohammad, Farnaz Harirchi, Ahmed Al-Durra, S. M. Muyeen, and Marcelo Godoy Simoes. "Compressive System Identification for Multiple Line Outage Detection in Smart Grids." IEEE Transactions on Industry Applications 55, no. 5 (2019): 4462–73. http://dx.doi.org/10.1109/tia.2019.2921260.

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27

Zhao, Liang, and Wen-Zhan Song. "Distributed Power-Line Outage Detection Based on Wide Area Measurement System." Sensors 14, no. 7 (2014): 13114–33. http://dx.doi.org/10.3390/s140713114.

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28

Zoha, Ahmed, Arsalan Saeed, Ali Imran, Muhammad Ali Imran, and Adnan Abu-Dayya. "A learning-based approach for autonomous outage detection and coverage optimization." Transactions on Emerging Telecommunications Technologies 27, no. 3 (2015): 439–50. http://dx.doi.org/10.1002/ett.2971.

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29

Ahmed, Ashfaq, Muhammad Awais, Muhammad Naeem, et al. "Multiple Power Line Outage Detection in Smart Grids: Probabilistic Bayesian Approach." IEEE Access 6 (2018): 10650–61. http://dx.doi.org/10.1109/access.2017.2710285.

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30

Yang, Tingting, Tiancong Huang, Haifeng Zhang, Peiyi Li, Canyun Xiong, and Yucheng Wu. "Demand Response Management Research Based on Cognitive Radio for Smart Grid." Wireless Communications and Mobile Computing 2020 (October 10, 2020): 1–10. http://dx.doi.org/10.1155/2020/8827777.

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Cognitive radio is introduced into the demand response management (DRM) of smart grid with the hope of alleviating the shortage of spectrum resources and improving communication quality. In this paper, we adopt an energy detection algorithm based on generalized stochastic resonance (GSRED) to improve the spectrum sensing accuracy under the circumstances of low signal-to-noise ratio without increasing system overhead. Specifically, a DRM scheme based on real-time pricing is investigated, and the social welfare is taken as the main index to measure system control performance. Furthermore, consid

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31

Alnajjab, Basel, Ananth Narayan Samudrala, Chen Chen, Rick S. Blum, Soummya Kar, and Emma M. Stewart. "Outage Detection for Distribution Networks Using Limited Number of Power Flow Measurements." Journal of Modern Power Systems and Clean Energy 8, no. 2 (2020): 315–24. http://dx.doi.org/10.35833/mpce.2019.000096.

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32

Chen, Y. H., C. J. Chang, and S. Shen. "Outage-based fuzzy call admission controller with multiuser detection for WCDMA systems." IEE Proceedings - Communications 152, no. 5 (2005): 617. http://dx.doi.org/10.1049/ip-com:20045063.

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33

Wang, Wei, Qing Liao, and Qian Zhang. "COD: A Cooperative Cell Outage Detection Architecture for Self-Organizing Femtocell Networks." IEEE Transactions on Wireless Communications 13, no. 11 (2014): 6007–14. http://dx.doi.org/10.1109/twc.2014.2360865.

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34

Yapici, Yavuz, Ismail Guvenc, and Yuichi Kakishima. "A MAP-Based Layered Detection Algorithm and Outage Analysis Over MIMO Channels." IEEE Transactions on Wireless Communications 17, no. 7 (2018): 4256–69. http://dx.doi.org/10.1109/twc.2018.2821687.

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35

Yang, Fang, Jingbo Tan, Jian Song, and Zhu Han. "Block-Wise Compressive Sensing Based Multiple Line Outage Detection for Smart Grid." IEEE Access 6 (2018): 50984–93. http://dx.doi.org/10.1109/access.2018.2869088.

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36

Prätor, Oliver, and Gerhard P. Fettweis. "On the outage behaviour of large DS-CDMA systems with LMMSE detection." European Transactions on Telecommunications 17, no. 2 (2006): 245–55. http://dx.doi.org/10.1002/ett.1105.

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37

Sevlian, Raffi Avo, Yue Zhao, Ram Rajagopal, Andrea Goldsmith, and H. Vincent Poor. "Outage Detection Using Load and Line Flow Measurements in Power Distribution Systems." IEEE Transactions on Power Systems 33, no. 2 (2018): 2053–69. http://dx.doi.org/10.1109/tpwrs.2017.2727979.

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38

Asghar, Muhammad Zeeshan, Mudassar Abbas, Khaula Zeeshan, Pyry Kotilainen, and Timo Hämäläinen. "Assessment of Deep Learning Methodology for Self-Organizing 5G Networks." Applied Sciences 9, no. 15 (2019): 2975. http://dx.doi.org/10.3390/app9152975.

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In this paper, we present an auto-encoder-based machine learning framework for self organizing networks (SON). Traditional machine learning approaches, for example, K Nearest Neighbor, lack the ability to be precisely predictive. Therefore, they can not be extended for sequential data in the true sense because they require a batch of data to be trained on. In this work, we explore artificial neural network-based approaches like the autoencoders (AE) and propose a framework. The proposed framework provides an advantage over traditional machine learning approaches in terms of accuracy and the ca

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39

Rademacher, Georg, Ruben S. Luis, Benjamin J. Puttnam, Yoshinari Awaji, and Naoya Wada. "Crosstalk-Induced System Outage in Intensity-Modulated Direct-Detection Multi-Core Fiber Transmission." Journal of Lightwave Technology 38, no. 2 (2020): 291–96. http://dx.doi.org/10.1109/jlt.2019.2945654.

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40

Ding, Li, Shihao Nie, Wenqu Li, Ping Hu, and Feng Liu. "Multiple Line Outage Detection in Power Systems by Sparse Recovery Using Transient Data." IEEE Transactions on Smart Grid 12, no. 4 (2021): 3448–57. http://dx.doi.org/10.1109/tsg.2021.3057822.

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41

Hashemi, Mojtaba, and Ehsan Shami. "New fault detection and fault-tolerant scheme for Doppler velocity logger outage in ocean navigation systems." Journal of Navigation 74, no. 2 (2021): 409–24. http://dx.doi.org/10.1017/s0373463320000752.

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AbstractThe inertial navigation system/Doppler velocity logger (INS/DVL) plays an important role in ocean navigation. Any DVL malfunction poses serious risks to navigation. A precise detection system is required to detect the initial moments of DVL signal malfunctions; moreover, with loss of DVL, a fault-tolerant scheme (FTS) is necessary for DVL signal reconstruction. In this paper, an evolutionary knowledge-based method, namely improved evolutionary TS-fuzzy (I-eTS), is adopted to build an artificial intelligence (AI)-based pseudo DVL to deal with long-term outage of DVL. By employing Gaussi

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42

Sofwan, A., A. Multi, R. Soleman, Sugianto, and A. Kusuma Septian. "Leak Current Monitoring System On The Ground Cables Medium Voltage Transformer 150/20 kV." MATEC Web of Conferences 218 (2018): 01008. http://dx.doi.org/10.1051/matecconf/201821801008.

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On January, 2017 there had been fault trip at PMT 150/20 kV transformer in Jatirangon substation. For fault detection, that rele differential phase T and REF 20 kV have worked to detect this fault. The resulted impact of this fault is Power outage in feeder a 1350 A, 35 MW and 5 Mvar. The cause of this fault is the occurrence of breakdown on ground cables 20kV T-phase-core 1. This results in a short circuit to the ground so that the differential protection relay and REF 20kV work because the relay detects a fault in the ptotection zone. The result of this research is the design of an early det

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43

An, Lian Suo, Peng Tong, and Gen Shan Jiang. "Research on Weak Leak Detection of Boiler Tubes under Strong Background Noise." Advanced Materials Research 287-290 (July 2011): 2481–84. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.2481.

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In plant, the main factor affecting power unit is the boiler, which mainly has the problem as unplanned outage caused by the leakage of water-cooled wall, superheater, reheater, economizer. So it is very meaningful and important to discover the problem of weak leakage of compression and heating surface of boiler and give the alarm in an early phase so as to figure out recondition method and reduce the recondition time. In this paper the deep research on acoustic features of background noise produced by boiler tube leakage and spectrum features of leak noise are presented to provide assistance

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44

Rebola, Joao L., Adolfo V. T. Cartaxo, Tiago M. F. Alves, and Andre S. Marques. "Outage Probability Due to Intercore Crosstalk in Dual-Core Fiber Links With Direct-Detection." IEEE Photonics Technology Letters 31, no. 14 (2019): 1195–98. http://dx.doi.org/10.1109/lpt.2019.2921934.

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45

Yuan, Yuxuan, Kaveh Dehghanpour, Fankun Bu, and Zhaoyu Wang. "Outage Detection in Partially Observable Distribution Systems Using Smart Meters and Generative Adversarial Networks." IEEE Transactions on Smart Grid 11, no. 6 (2020): 5418–30. http://dx.doi.org/10.1109/tsg.2020.3008770.

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46

Li, Hongwei, Yongmei Huang, Qiang Wang, Dong He, Zhenming Peng, and Qing Li. "Performance Analysis of Satellite-to-Ground Coherent Optical Communication System with Aperture Averaging." Applied Sciences 8, no. 12 (2018): 2496. http://dx.doi.org/10.3390/app8122496.

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The satellite-to-ground optical communication system suffers from atmosphere turbulence severely. It is well-known that the coherent detection can increase the receiver sensitivity and performing aperture averaging can reduce the scintillation caused by the atmosphere turbulence. In this paper, the bit error rate, the outage probability and the average capacity of a coherent satellite-to-ground optical communication downlink with aperture averaging are analyzed. The Log-normal atmosphere turbulence model and BPSK (Binary Phase Shift Keying) modulation is employed. The analyzing focuses on the

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47

Abdelaziz, A. Y., S. F. Mekhamer, and M. Ezzat. "The Application of Phasor Measurement Units in Transmission Line Outage Detection Using Support Vector Machine." International Journal of Intelligent Systems and Applications 5, no. 8 (2013): 9–20. http://dx.doi.org/10.5815/ijisa.2013.08.02.

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48

Zhang, Tao, Kun Zhu, and Dusit Niyato. "A Generative Adversarial Learning-Based Approach for Cell Outage Detection in Self-Organizing Cellular Networks." IEEE Wireless Communications Letters 9, no. 2 (2020): 171–74. http://dx.doi.org/10.1109/lwc.2019.2947041.

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49

Ghous, Mujtaba, Ziaul Haq Abbas, Ahmad Kamal Hassan, Ghulam Abbas, Thar Baker, and Dhiya Al-Jumeily. "Performance Analysis and Beamforming Design of a Secure Cooperative MISO-NOMA Network." Sensors 21, no. 12 (2021): 4180. http://dx.doi.org/10.3390/s21124180.

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This paper studies the cell-edge user’s performance of a secure multiple-input single-output non-orthogonal multiple-access (MISO-NOMA) system under the Rayleigh fading channel in the presence of an eavesdropper. We suppose a worst-case scenario that an eavesdropper has ideal user detection ability. In particular, we suggest an optimization-based beamforming scheme with MISO-NOMA to improve the security and outage probability of a cell-edge user while maintaining the quality of service of the near-user and degrading the performance of the eavesdropper. To this end, power allocation coefficient

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50

LIU, JIANGUO, and LUXI YANG. "TRANSMIT ANTENNA SELECTION FOR V-BLAST MIMO SYSTEM BASED ON EXTENDED CHANNEL MATRIX ANALYSIS." Journal of Circuits, Systems and Computers 17, no. 02 (2008): 253–62. http://dx.doi.org/10.1142/s0218126608004228.

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For the sake of reducing the hardware cost of multiple RF chains and the complexity for spatial multiplexing systems, in this paper a novel low-complexity transmit antenna selection criterion is proposed for V-BLAST system with MMSE OSIC detection. Based on MMSE extension of V-BLAST with sorted QR decomposition, an intuitional performance analysis of each sub-stream for MMSE V-BLAST transmission is done, and a new solution to the transmit antenna selection problem is suggested. Unlike most of the existing works, the proposed algorithm synthetically considers the impacts of detection order, int

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