Stator fault detection in induction machines by parameter estimation, using adaptive kalman filter

Author

Bagheri, F. ; Khaloozaded, H. ; Abbaszadeh, K.

Author_Institution

K.N. Toosi Univ. of Technol., Tehran

fYear

2007

fDate

27-29 June 2007

Firstpage

1

Lastpage

6

Abstract

In this paper first a parametric low differential order model, suitable for mathematical analysis is introduced for induction machines with faulty stator. Second, an adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous-time model with discrete measurements for fault detection ends. Typical motor faults as inter-turn short circuit and increased winding resistance are taken into account.

Keywords

adaptive Kalman filters; continuous time systems; fault diagnosis; induction motors; machine control; parameter estimation; recursive estimation; stators; adaptive Kalman filter; continuous-time model; faulty stator; induction machines; motor faults; parameter estimation; parametric low differential order model; recursive estimation; stator fault detection; winding resistance; Circuit faults; Electrical resistance measurement; Fault detection; Induction machines; Mathematical analysis; Mathematical model; Parameter estimation; Recursive estimation; State estimation; Stators;

fLanguage

English

Publisher

ieee

Conference_Titel

Control & Automation, 2007. MED '07. Mediterranean Conference on

Conference_Location

Athens

Print_ISBN

978-1-4244-1282-2

Electronic_ISBN

978-1-4244-1282-2

Type

conf

DOI

10.1109/MED.2007.4433953

Filename

4433953