Research of Motor Fault Diagnosis by Detecting Dynamic Model Parameters

Abstract:

Article Preview

A diagnosis ellipsoid equation is put forward in order to solve motor fault on-line diagnosis. It is first to estimate the motor dynamic model parameters by the on-line least squares estimation, then to detect the parameters changes in the system model, and last to identify t the parts of the system failure occurred and factors. Through a practical example of the application to diagnose a motor fault, the motor fault can be detected according to the parameter changes of the motor model, and the failure factors can be diagnosed by using the diagnosis equation. It is proved feasible and effective.

Info:

Periodical:

Edited by:

Ran Chen

Pages:

3716-3720

DOI:

10.4028/www.scientific.net/AMM.44-47.3716

Citation:

J. X. Long "Research of Motor Fault Diagnosis by Detecting Dynamic Model Parameters", Applied Mechanics and Materials, Vols. 44-47, pp. 3716-3720, 2011

Online since:

December 2010

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.