e-journal

Single point bearing fault diagnosis using simplified frequency model

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Abstract
The time synchronous averaging (TSA) is a wellknown technique used for early detection of bearing failure in electrical machines. This method is very efficient if the characteristic default frequency is perfectly known. In this article, a reduced frequency model, derived from ESPRIT algorithm, is used to provide a very accurate estimation of the fault frequency. The precision obtained on this frequency
allows to applyTSAalgorithm under optimal conditions. The proposed method is tested on simulated and real vibration signals for inner and outer ring faults. Finally, a fault indicator is proposed to discriminate the healthy case from the faulty one.

Keywords Vibration · Diagnosis · Signal processing · Bearing fault · TSA · ESPRIT · Frequency estimation · Filtering

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: Springer-Verlag Berlin Heidelberg., 2017

Deskripsi Fisik

Electr Eng (2017) 99:455–465

Bahasa

English

ISBN/ISSN

1432-0487

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Electronical engineering ; Volume 99, Issue 1, Mar

Subjek

TEKNIK ELEKTRO
ELECTRICAL ENGINEERING

Info Detail Spesifik

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Pernyataan Tanggungjawab

ety

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