Neural network approach of harmonics detection
This paper describes a novel approach of harmonics detection in a power system which can be used as an alternative to the conventional approaches. The proposed approach uses the multilayer feed forward neural network to determine the harmonic components in a six-pulse bridge converter. In this paper...
Main Authors: | Zin, A.A.M (Author), Rokonuzzaman, M. (Author), Shaibon, H. (Author), Lo, K.I (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
1998-03-03.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Loss minimisation using islanding technique for district of Klang, Malaysia
by: Shaibon, H., et al.
Published: (1995) -
Power supply quality improvement: harmonic measurement and simulation
by: Mat Said, Dalila, et al.
Published: (2003) -
Badminton player detection using faster region convolutional neural network
by: Rahmad, N. A., et al.
Published: (2019) -
Acoustic event detection with binarized neural network
by: Wong, Kah Liang
Published: (2020) -
Harmonic source identification in power distribution system and meter placement using network impedance approach
by: Zaidi, Maryam Nabihah, et al.
Published: (2020)