Fault detection in distribution networks in presence of distributed generations using a data mining–driven wavelet transform

Mohammadnian, Y.; Amraee, Turaj; Soroudi, Alireza

doi:10.1049/iet-stg.2018.0158

Cited by 23 publications

(12 citation statements)

References 34 publications

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“…(1) Preparation Phase. In the preparation phase of data mining, the main focus is on understanding the project objectives and business, user needs, and so on and being able to define the problem as well as the initial definition of mining objectives, while data collection needs to be carried out [14]. ere are various ways to collect data, such as questionnaires, user interviews, observations and questions, group discussions, and so on, each of which has more or fewer advantages and disadvantages.…”

Section: Construction Of a Complex System Model For English Translati...mentioning

confidence: 99%

Modeling of the English Translation Complex System Based on Discrete Data Mining

Bian

2022

Scientific Programming

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This paper provides an in-depth analysis and research on the application of web discrete data mining in modeling complex systems for English translation. This paper adopts association rule mining, clustering, and classification methods to deeply analyze English translation, mine the interesting rules in it, find out the interinfluence relationship of system modeling and the relationship between translation behaviors, analyze and compare different data mining methods, and make an evaluation of the mining results to provide a scientific reference basis for the relevant decision-making scheme of the English translation. The paper elaborates the relevant concepts of data mining and the theoretical basis and analysis process of association rule mining, clustering rule mining, and classification rule mining methods. The application of data mining techniques in modeling and analysis of complex systems of the English translation is highlighted, and these three mining methods are used to analyze a set of English sample data: through the analysis of the correlation of different English translations, some feasible suggestions are provided for the order of translation settings; through the analysis of clustering of English translations, the shortcomings of traditional translation methods are made up; through the analysis of the factors affecting the accuracy of English translations factors, a useful reference is provided on how to improve English translation and then improve the quality of translation.

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Section: Construction Of a Complex System Model For English Translati...mentioning

confidence: 99%

Modeling of the English Translation Complex System Based on Discrete Data Mining

Bian

2022

Scientific Programming

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“…The test system is modelled in MATLAB, and its diagram is given in Figure 5. Referring to [22][23], the descriptions of the system are as follows:…”

Section: Test Systemmentioning

confidence: 99%

Fault Diagnosis in Distributed Power-Generation Systems Using Wavelet Based Artificial Neural Network

Chen¹,

Gao²,

Jin³

et al. 2021

EJEE

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In recent years, research on fault diagnosis of grids is becoming increasingly important, because it ensures the stable operation of power systems, and meets high demands on the power quality by power customers. In this paper, an intelligent approach for fault diagnosis of distributed power generation systems is proposed based on maximum overlap discrete wavelet transform and artificial neural network. In the proposed scheme, the fault data are first collected. Then, maximum overlap discrete wavelet transform is applied to detect faults and extract features. Finally, artificial neural network is constructed to classify the fault types. Results show that the method can identify faults precisely, classify fault types accurately, and is not affected by the change of electrical parameters. In addition, compared with several existing intelligent diagnosis techniques, the proposed approach can provide better fault classification accuracy. To evaluate the performance, the algorithm is verified by the case of the modified simulation model of IEEE-13 bus standard system.

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“…Mohammadnian et al . [32] proposed a data mining scheme based on discrete wavelet transform (DWT) for fault detection in distribution networks while Siripanadorn et al . [33] combined DWT with a self‐organising map algorithm to identify abnormal readings in WSN.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid detection algorithm for online faulty sensors identification in wireless sensor networks

Gabr¹,

Ahmed²,

Salim³

2020

IET wirel. sens. syst.

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Fault detection in distribution networks in presence of distributed generations using a data mining–driven wavelet transform

Cited by 23 publications

References 34 publications

Modeling of the English Translation Complex System Based on Discrete Data Mining

Modeling of the English Translation Complex System Based on Discrete Data Mining

Fault Diagnosis in Distributed Power-Generation Systems Using Wavelet Based Artificial Neural Network

Hybrid detection algorithm for online faulty sensors identification in wireless sensor networks

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