Title :
Fault detection of induction machine using semi-classical signal analysis method
Author :
Eleiwi, Fadi ; Kirati, Taous Meriem Laleg
Author_Institution :
Electr. Eng. Dept., King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
Abstract :
This paper proposes the application of a recently developed signal analysis method to fault detection in induction machine. This method is based on a semi-classical analysis of a Schrodinger operator where a measured signal is considered as potential of this operator. This method provides new spectral parameters that are used to define new residuals. Results of simulation are presented.
Keywords :
Schrodinger equation; asynchronous machines; fault diagnosis; signal processing; spectral analysis; Schrodinger operator; fault detection; induction machine; measured signal; semiclassical signal analysis method; spectral parameters; Induction machine; Semi-classical signal analysis; fault detection;
Conference_Titel :
Control and Automation 2013: Uniting Problems and Solutions, IET Conference on
Conference_Location :
Birmingham
Electronic_ISBN :
978-1-84919-710-6
DOI :
10.1049/cp.2013.0024
