SVM and RVM Fault Model for Wind Energy Conversion Systm
2019 ◽
Vol 8
(4S2)
◽
pp. 366-371
Keyword(s):
The paper present the fault identification technique for wind Energy conversion system based on SVM (support vector machines) and RVM. A Relevance Vector Machine based fault detection technique and support vector machine fault detection technique with the Benchmark Model of the WECS is carried out with Multi class classification... The proposed implementation would carry out simulation which would consider multiple faults occurring simultaneously with a comparison study of both techniques can be achieved. The algorithm is carried out and the results are found to be satisfactory. The results in MATLAB shows that effective memory usage of each technique.
2019 ◽
Vol 9
(3)
◽
pp. 1506
2014 ◽
Vol 2014
◽
pp. 1-13
◽
2019 ◽
Vol 16
(8)
◽
pp. 3504-3509
2017 ◽
Vol 66
(9)
◽
pp. 2403-2412
◽
2014 ◽
Vol 34
(1)
◽
pp. 52-70
◽
2014 ◽
Vol 39
(5)
◽
pp. 4057-4076
◽
Keyword(s):