Parallel Fault Diagnosis of Power Transformer Based on MapReduce and K-Means
2014 ◽
Vol 494-495
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pp. 813-816
Keyword(s):
Fault diagnosis can insure the power transformer safety and economic operation, and the data mining is the key technology of fault diagnosis for power transformer. In order to achieve the fast parallel fault diagnosis for power transformer, we need to put cloud computing technology into the smart grid. We give a parallel method of K-means based on MapReduce framework on the Hadoop distributed systems cluster to diagnose operation state of power transformer. Finally, through transformer fault diagnosis experimentations of massive DGA data, the results indicate closely linear speedup with an increasing number of node computers.
2010 ◽
Vol 30
(3)
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pp. 783-785
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Keyword(s):
Keyword(s):
2021 ◽
Vol 2021
(1)
◽
2017 ◽
Vol 24
(5)
◽
pp. 2828-2835
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Keyword(s):
2013 ◽
Vol 20
(3)
◽
pp. 974-981
◽
Keyword(s):
Keyword(s):