Incipient Bearing Fault Diagnostics for Inverter Fed Induction Motor Drive using ANFIS Conference Paper

abstract

• Incipient fault detection of electrical machine is a challenging task and requires intelligent diagnostic approach. Huge research effort is put to automate the fault diagnostic schemes. Among several causes of electrical machine failure the most frequent occurring fault is the mechanical bearing failure. Thus this paper present on-line diagnostic technique for incipient bearing failure in an inverter fed three-phase induction motor drive system. The adaptive neuro-fuzzy inference system is utilized for the diagnostic purpose. The proposed technique is verified using simulation approach. The simulation is done using Matlab/Simulink and the complete model is presented in the paper. 2010 IEEE.

name of conference

• The XIX International Conference on Electrical Machines - ICEM 2010

authors

• Abu-Rub, Haitham
• Rahimian, Mina
• Toliyat, Hamid

published proceedings

• The XIX International Conference on Electrical Machines - ICEM 2010

altmetric score

• 3

author list (cited authors)

• Abu-Rub, H., Ahmed, S. M., Iqbal, A., Rahimian, M., & Toliyat, H. A.

citation count

• 12

complete list of authors

• Abu-Rub, Haitham||Ahmed, Sk Moin||Iqbal, Atif||Rahimian, M||Toliyat, HA

publication date

• September 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/icelmach.2010.5608171

International Standard Book Number (ISBN) 13

• 9781424441754

start page

• 1

end page

• 5

URL

• http://dx.doi.org/10.1109/icelmach.2010.5608171