Two-ANN approach to frequency and harmonic evaluation

L. L. Lai; Wai Lok Chan; A. T.P. So

Two-ANN approach to frequency and harmonic evaluation

L. L. Lai, Wai Lok Chan, A. T.P. So

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

In power electronics study, there are frequently occasions that the frequency of the signal under monitoring is varying significantly during the measurement period. That creates a hugh problem to the conventional approach of spectrum analysis using Fast Fourier Transform. An obvious example is the measurement of the output of a Variable Voltage and Variable Frequency Converter during the motor acceleration/deceleration stages. In this paper, a solution using two Hopfield type Artificial Neural Networks (N-N) is being proposed. One NN is used to calculate the frequency of the signal whereas the other is used to estimate the magnitudes and phase angles of the spectra. The deceleration profile of Danfoss Variable Speed Drive (VSD) is used as an example to illustrate the usefulness and effectiveness of this approach.

Original language	English
Pages (from-to)	245-250
Number of pages	6
Journal	IEE Conference Publication
Issue number	440
Publication status	Published - 1 Jan 1997
Externally published	Yes
Event	Proceedings of the 1997 5th International Conference on Artificial Neural Networks - Cambridge, United Kingdom Duration: 7 Jul 1997 → 9 Jul 1997

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Two-ANN approach to frequency and harmonic evaluation",

abstract = "In power electronics study, there are frequently occasions that the frequency of the signal under monitoring is varying significantly during the measurement period. That creates a hugh problem to the conventional approach of spectrum analysis using Fast Fourier Transform. An obvious example is the measurement of the output of a Variable Voltage and Variable Frequency Converter during the motor acceleration/deceleration stages. In this paper, a solution using two Hopfield type Artificial Neural Networks (N-N) is being proposed. One NN is used to calculate the frequency of the signal whereas the other is used to estimate the magnitudes and phase angles of the spectra. The deceleration profile of Danfoss Variable Speed Drive (VSD) is used as an example to illustrate the usefulness and effectiveness of this approach.",

author = "Lai, {L. L.} and Chan, {Wai Lok} and So, {A. T.P.}",

year = "1997",

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language = "English",

pages = "245--250",

journal = "IEEE Conference Publication",

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number = "440",

note = "Proceedings of the 1997 5th International Conference on Artificial Neural Networks ; Conference date: 07-07-1997 Through 09-07-1997",

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TY - JOUR

T1 - Two-ANN approach to frequency and harmonic evaluation

AU - Lai, L. L.

AU - Chan, Wai Lok

AU - So, A. T.P.

PY - 1997/1/1

Y1 - 1997/1/1

N2 - In power electronics study, there are frequently occasions that the frequency of the signal under monitoring is varying significantly during the measurement period. That creates a hugh problem to the conventional approach of spectrum analysis using Fast Fourier Transform. An obvious example is the measurement of the output of a Variable Voltage and Variable Frequency Converter during the motor acceleration/deceleration stages. In this paper, a solution using two Hopfield type Artificial Neural Networks (N-N) is being proposed. One NN is used to calculate the frequency of the signal whereas the other is used to estimate the magnitudes and phase angles of the spectra. The deceleration profile of Danfoss Variable Speed Drive (VSD) is used as an example to illustrate the usefulness and effectiveness of this approach.

AB - In power electronics study, there are frequently occasions that the frequency of the signal under monitoring is varying significantly during the measurement period. That creates a hugh problem to the conventional approach of spectrum analysis using Fast Fourier Transform. An obvious example is the measurement of the output of a Variable Voltage and Variable Frequency Converter during the motor acceleration/deceleration stages. In this paper, a solution using two Hopfield type Artificial Neural Networks (N-N) is being proposed. One NN is used to calculate the frequency of the signal whereas the other is used to estimate the magnitudes and phase angles of the spectra. The deceleration profile of Danfoss Variable Speed Drive (VSD) is used as an example to illustrate the usefulness and effectiveness of this approach.

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M3 - Conference article

SN - 0537-9989

SP - 245

EP - 250

JO - IEEE Conference Publication

JF - IEEE Conference Publication

IS - 440

T2 - Proceedings of the 1997 5th International Conference on Artificial Neural Networks

Y2 - 7 July 1997 through 9 July 1997

ER -

Two-ANN approach to frequency and harmonic evaluation

Abstract

ASJC Scopus subject areas

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