Health status diagnosis of distribution transformers based on big data mining

Wang, Yue; Hu, Lin-Fang; Chen, Jianwei; Ren, Yueqing

doi:10.1002/ett.3759

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…The nodes are independent and can be connected and correlated in the actual application process [9] . Then, based on this, multiple data mining processing layers are set through the guidance of nodes.…”

Section: Design the Data Mining Framework Of Multi-level Power Data S...mentioning

confidence: 99%

Anomaly data mining method for electric power data center business system based on decision tree

Li,

Wu,

et al. 2024

Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)

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Most of the current frameworks for outlier data mining are one-way structures, and the efficiency of data mining is low, which leads to the increase of data mining redundancy. Therefore, this paper proposes the design and analysis of outlier data mining methods for power data middle office business systems based on decision trees. According to the actual mining requirements and standards, the initial outlier data sources are collected, and the multi-level method is adopted to improve the efficiency of data mining, and the multi-level power data system data mining framework is designed. On this basis, the decision tree outlier data mining model is constructed, and the unit grid integration is used to realize outlier data mining. The final test results show that: for the selected five data mining test cycles, the final data mining redundancy is better held 20%, which indicates that the comprehensive decision tree, the designed G power data middle office business system outlier data mining effect has been significantly improved, targeted, mining processing effect is better, and has practical application value.

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Section: Design the Data Mining Framework Of Multi-level Power Data S...mentioning

confidence: 99%

Anomaly data mining method for electric power data center business system based on decision tree

Li,

Wu,

et al. 2024

Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)

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“…Because of high implementation costs of conventional DT condition assessment methods such as those based on DGA, FRA, and PD, novel advanced AI-based techniques have been developed. For instance, the DT-HI can be obtained using data mining [100], genetic algorithms [81], k-Nearest Neighbour (kNN) [104], Internet of Things (IoT) [105], and fuzzy logic [110].…”

Section: Indices For Condition Assessment Of Dtmentioning

confidence: 99%

Condition Assessment of Medium Voltage Assets: A Review

Mesino,

Caicedo,

Mamaní

et al. 2023

Adv. sci. technol. eng. syst. j.

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Condition assessment of medium voltage assets is essential to ensure reliability and costeffective operation of power distribution networks. This article presents a literature review of condition assessment of medium voltage assets related to a distribution system in a noninterconnected zone in Colombia, namely, power transformers, photovoltaic systems, switchgear, lines and cables, and instrument transformers. Advanced search rules are formulated to obtain bibliographic records of relevant academic literature from the database Scopus. The retrieved data are analyzed quantitatively to provide insights on the current state of research on the topic. Next, the most relevant academic papers for each medium voltage asset are selected and analyzed in a critical review along with more diverse literature including standards, technical reports, and white papers obtained through complementary searches. The results of the review show that several approaches have been formulated for condition assessment of medium voltage assets, ranging from traditional diagnostic methods to advanced artificial intelligence-based approaches. Moreover, research on some assets is already mature including power transformers, and photovoltaic systems, whereas other assets have been incipiently studied such as distribution and instrument transformers. Therefore, the need for deeper condition assessment research for these critical assets is highlighted. Research gaps are identified in the standardization and integration of condition assessment tools for distribution system operators.

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“…And different teachers are different in both learning ability and computer level. As a result, the application of teachers to the teaching system is also different [9,10].…”

Section: Strengthen Teacher Skills Trainingmentioning

confidence: 99%

Application of Data Mining in Computer-Aided Bilingual Teaching System

Meng,

Zhou,

Zhang

2023

Atlantis Highlights in Computer Sciences

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In order to understand the significance of computer-aided bilingual teaching systems, this article proposes a study that utilizes data mining technology to enhance computer-aided bilingual teaching systems. Firstly, the structure of the computer-aided teaching system was analyzed, and the advantages and benefits of data mining technology in computer-aided teaching were elaborated in detail. Through repeated experimentation and testing, we have found that compared to traditional teaching systems, the total resource utilization of computer-aided bilingual teaching systems has decreased by 50%, indicating that the system has lower resource utilization and certain advantages. Applying data mining technology to the constituent modules of computer-aided teaching systems can improve the intelligence of the system and provide personalized learning assistance to students in a targeted manner. Therefore, the application of data mining technology in computer-aided bilingual teaching systems is of great significance and value.

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Health status diagnosis of distribution transformers based on big data mining

Cited by 3 publications

References 19 publications

Anomaly data mining method for electric power data center business system based on decision tree

Anomaly data mining method for electric power data center business system based on decision tree

Condition Assessment of Medium Voltage Assets: A Review

Application of Data Mining in Computer-Aided Bilingual Teaching System

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