75
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Time Synchronization and Integration of Bearing Fault Impacts upon Stator Currents

, &
Pages 2284-2292 | Received 13 Dec 2022, Accepted 18 Apr 2023, Published online: 16 May 2023
 

Abstract

As regards bearing fault detection of induction motors using stator current, anything unrelated to the faults is the “noise”. The noise attenuation leads to an improved estimation of the bearing fault signal. The gist of this study is the integration and synchronization of the three residues obtained from the current noise cancelation methods: Time Shifting and Linear Prediction. This procedure results in a richer bearing fault signal than any of the individual residues through cross-correlation. The developed method efficiently synchronizes and integrates the current residues so that fault characteristic frequencies can be more conspicuous in spectral analysis. Both simulation and experimental results attest to the merit and effectiveness of the developed method in detecting both outer and inner race bearing faults.

Additional information

Notes on contributors

Asadollah Kalantar

Asadollah Kalantar is a Ph.D. student in mechanical engineering at the IUST, Tehran, Iran. Since 2018, He has been the Research and Development (R&D) of IOPTC manager. He works on condition monitoring of rotating machine such as electro pump, turbo generator, and turbo pump.

Mir Saeed Safizadeh

Mir Saeed Safizadeh is an Associate Professor at the IUST, Tehran, Iran. He received the Ph.D. degree in mechanical engineering from the Ecole Polytechnique of Montreal, Canada, in 1999. He works on the field of nondestructive testing, monitoring and diagnosis of rotating machines, fusion of data, and signal processing.

Fardin Dalvand

Fardin Dalvand received the M.Sc. degree in electrical engineering from AUT University, Tehran, Iran, in 2007. Since 2010, he has been an Electrical Engineer in the IOPTC Company, Iran. He works on electric machines, signal processing, modeling, and condition monitoring.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 412.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.