Reliability evaluation of residual magnetism in rotor of SEIG

Author

Varshney, L. ; Saket, R.K.

Author_Institution

Dept. of Electr. Eng., Banaras Hindu Univ., Varanasi, India

fYear

2013

fDate

12-14 April 2013

Firstpage

1

Lastpage

4

Abstract

Evaluation of the probability of success and probability of failure have been presented in this paper by using Monte Carlo simulation due to loss of residual magnetism in the rotor core of the three phase induction machine operating as a Self Excited Induction Generator (SEIG). Based on this experimental study, it is possible to choose a reliable induction machines operated as a SEIG for unregulated renewable energy application. A three phase delta connected, 4 poles, 50Hz, 5.5 hp, 12.3A, 230V induction motor coupled with 230V, 11.6A DC Shunt Motor was tested in the electrical machine laboratory with variable reactive loads. Failure density function, cumulative failure distribution function, survivor function, hazard model for reliability evaluation of the three phase induction motor operating as a SEIG have been presented graphically in this paper by using probability distribution approach.

Keywords

Monte Carlo methods; asynchronous generators; failure analysis; induction motors; reliability; rotors; statistical distributions; DC shunt motor; Monte Carlo simulation; SEIG rotor; cumulative failure distribution function; current 11.6 A; current 12.3 A; electrical machine laboratory; failure density function; failure probability; frequency 50 Hz; hazard model; poles; probability distribution approach; probability evaluation; reliability evaluation; residual magnetism reliability evaluation; rotor core; self excited induction generator; survivor function; three phase induction machine; three phase induction motor; unregulated renewable energy application; variable reactive loads; voltage 230 V; Capacitors; Hazards; Induction motors; Magnetic circuits; Magnetic cores; Reliability; Cumulative failure distribution function; Monte Carlo simulation; SEIG; failure density function; hazard function; survivor function;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Systems (SCES), 2013 Students Conference on

Conference_Location

Allahabad

Print_ISBN

978-1-4673-5628-2

Type

conf

DOI

10.1109/SCES.2013.6547543

Filename

6547543