Image-Based State Recognition for Disconnect Switches in Electric Power Distribution Substations

Nassu, Bogdan Tomoyuki; Lippmann, Lourival; Marchesi, Bruno; Canestraro, Amanda; Wagner, Rafael Ramos; Zarnicinski, Vanderlei

doi:10.1109/sibgrapi.2018.00062

Cited by 12 publications

(10 citation statements)

References 14 publications

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“…In the previous works, many artificial intelligence algorithms have been applied to the management of power system including data backup, information monitoring, fault diagnosis, anomaly detection, etc. [5][6][7][8][9][10][11][12][13][14][15][16]. In order to further enhance the automation level of the power system, the innovation cloud service platform should be developed using innovation technologies in the field of artificial intelligence.…”

Section: Introductionmentioning

confidence: 99%

Research on Construction of Innovation Cloud Service Platform in Power Enterprise

Zhao

jinsoo

et al. 2019

E3S Web Conf.

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The informalization and automation of the present power system have important influences on the smooth operation of power stations and systems. The construction of the innovation cloud service platform could help manage the power enterprise. Three components including data center, monitoring system, and decision support system are established to realize the functions of data sharing, intelligent management, and remote support. Through the establishment of the innovation cloud service platform, the whole efficiency and effectiveness of the power enterprise can be enhanced, which helps the smooth operation of the power stations and systems.

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Section: Introductionmentioning

confidence: 99%

Research on Construction of Innovation Cloud Service Platform in Power Enterprise

Zhao

jinsoo

et al. 2019

E3S Web Conf.

View full text Add to dashboard Cite

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“…To some extent, the previous fault analysis or diagnose did this job but it focused on the faults. In fact, there many much more anomalies in the substation information while should also be considered [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Background Information Detection in Substations Based on Anomaly Detection

et al. 2019

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The substations are important parts of modern electrical grids. In this sense, it is necessary to detect the anomaly and problems in it. In this paper, we study on the information detection in substations based on traditional anomaly detection algorithms. The data flow from the background information is represented by feature vectors. And those from the historical data are used to build the background references. Afterward, the feature vector of the input data flow is examined using the anomaly detection algorithm. Based on the results, the anomaly in the background information in the substations can be found and located. Then, some high-precision identification algorithms can be further employed to recognition the type of the problems. In this way, the problems occurred in the substations can be found and solved in time.

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“…Although there were some related works in the previous works, they did not consider the whole enterprise system in a unified way. Therefore, it is still necessary that more efforts should be made to apply the advanced technologies into the practical management of the power system [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Construction of Backup Center for Enterprise Electronic Files Based on Cloud Platform

Zhang

Jin

et al. 2019

E3S Web Conf.

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The development in information technologies lies such as cloud platform provide good ways to improve the intelligence of present electrical enterprises. However, the massive data from the power stations and systems should be properly stored to avoid the sudden breakdowns of the system. Therefore, it is meaningful to construct the data backup center for all the data in the enterprise. The main objective to the properly manage and analyze these data to find and solve the potential threats in the enterprise system. This paper analyses the main functions of the data backup center and provides some potential ways to build it with high intelligence and automation level. By using stable facilitations, intelligent information classification modules and automatic anomaly detection tools, the data backup center could help the smooth operating of the whole enterprise.

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Image-Based State Recognition for Disconnect Switches in Electric Power Distribution Substations

Cited by 12 publications

References 14 publications

Research on Construction of Innovation Cloud Service Platform in Power Enterprise

Research on Construction of Innovation Cloud Service Platform in Power Enterprise

Background Information Detection in Substations Based on Anomaly Detection

Construction of Backup Center for Enterprise Electronic Files Based on Cloud Platform

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