Please use this identifier to cite or link to this item: https://repositorio.ufba.br/handle/ri/7199
metadata.dc.type: Artigo de Periódico
Artigo de Periódico
Title: Improving the signal data acquisition in condition monitoring of electrical machines
Other Titles: IEEE Transactions on Instrumentation and Measurement
Authors: Costa, Fernando Ferreira
Almeida, Luiz Alberto Luz de
Naidu, S. R.
Member, Senior
Braga-Filho, E. R.
metadata.dc.creator: Costa, Fernando Ferreira
Almeida, Luiz Alberto Luz de
Naidu, S. R.
Member, Senior
Braga-Filho, E. R.
Abstract: The occurrence of a broken bar in induction machines causes an internal magnetic imbalance, which is reflected in the stator current. This effect may be detected by estimating the spectral signature of the stator current, particularly the sidebands around the fundamental frequency. However, the fundamental 60-Hz amplitude is considerably greater than the sideband amplitude, which usually requires an analog 60-Hz notch filter in the data acquisition system. Analog filters are sensitive to temperature variations, which, in this case, may shift the filter resonance frequency and degrade the desired response. It is proposed in this paper that the analog notch filter may be replaced by a digital/analog cancelling technique based on the recursive discrete-time Fourier transform. The technique is shown to attenuate the fundamental 60-Hz amplitude considerably before A/D conversion, leaving only the sidebands in the current signal
Keywords: Condition monitoring
induction motor
motor current signature analysis (MCSA)
preventive maintenance
URI: http://www.repositorio.ufba.br/ri/handle/ri/7199
Issue Date: 2004
Appears in Collections:Artigo Publicado em Periódico (PEI)

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