Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology

Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology

Citation Author(s):
Ali
Abdo
Submitted by:
hongshun Liu
Last updated:
Sun, 01/26/2020 - 11:04
DOI:
10.21227/jve3-nh57
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Abstract: 

The following is the data set for dissolved gas analysis method, it has been collected from literatures and it contains a total of 177 samples.

Instructions: 

This file contains the 177 data samples which have been collected from literatures, it has been divided into 150 data  sample for training and 27 samples for testing. The 150 data samples have been divided into 15 groups, in which every groups contain two types of power transformer faults, without repetition by using the combination of subset of set method then every group is inputted the FCM algorithm for clustering. The last step it contains the final clustering data  set which contains 30 samples. Every fault will have 5 samples.

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[1] Ali Abdo, "Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/jve3-nh57. Accessed: Feb. 28, 2020.
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doi = {10.21227/jve3-nh57},
url = {http://dx.doi.org/10.21227/jve3-nh57},
author = {Ali Abdo },
publisher = {IEEE Dataport},
title = {Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology},
year = {2020} }
TY - DATA
T1 - Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology
AU - Ali Abdo
PY - 2020
PB - IEEE Dataport
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Ali Abdo. (2020). Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology. IEEE Dataport. http://dx.doi.org/10.21227/jve3-nh57
Ali Abdo, 2020. Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology. Available at: http://dx.doi.org/10.21227/jve3-nh57.
Ali Abdo. (2020). "Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology." Web.
1. Ali Abdo. Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/jve3-nh57
Ali Abdo. "Dynamic assessment and prediction of equipment status in 220kV substations by big data and AI technology." doi: 10.21227/jve3-nh57