An Improved Adaptive Neural Network Detecting Approach to Harmonic Currents with Changeable Learning Parameters
2012 ◽
Vol 433-440
◽
pp. 6546-6550
Keyword(s):
Using the adaptive noise canceling technology, this paper proposes a new detecting approach to harmonics and reactive currents based on neural networks with changeable learning parameters. The structure of this neural network and the adaptive weights adjusting algorithm are presented. The contradiction of the detecting speed and the precision has been settled preferably. The proposed detecting approach can be used for detecting the harmonics and the reactive currents of active power filters. The results of the theoretical analysis and computer simulation confirm the validity of the approach.
2007 ◽
Vol 54
(1)
◽
pp. 61-76
◽
2020 ◽
pp. 1-1
◽
Keyword(s):
2020 ◽
Vol 8
(5)
◽
pp. 4952-4961
2014 ◽
Vol 61
(8)
◽
pp. 3857-3866
◽
Keyword(s):
Keyword(s):
1995 ◽
Vol 05
(04)
◽
pp. 789-811
◽
Keyword(s):