Fault detection of induction machine using semi-classical signal analysis method

Fadi Eleiwi; Taous Meriem Laleg Kirati

Fault detection of induction machine using semi-classical signal analysis method

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English (US)
Title of host publication	IET Conference on Control and Automation 2013
Subtitle of host publication	Uniting Problems and Solutions
Publisher	Institution of Engineering and Technology
ISBN (Electronic)	9781849197106
State	Published - Jan 1 2013
Event	2013 IET Conference on Control and Automation: Uniting Problems and Solutions - Birmingham, United Kingdom Duration: Jun 4 2013 → Jun 5 2013

Conference

Conference	2013 IET Conference on Control and Automation: Uniting Problems and Solutions
Country	United Kingdom
City	Birmingham
Period	06/4/13 → 06/5/13

Keywords

Fault detection
Induction machine
Semi-classical signal analysis

ASJC Scopus subject areas

Control and Optimization
Modeling and Simulation

Fingerprint Dive into the research topics of 'Fault detection of induction machine using semi-classical signal analysis method'. Together they form a unique fingerprint.

Cite this

@inproceedings{fac7448880fe4e4c8fb953bbee1feda6,

title = "Fault detection of induction machine using semi-classical signal analysis method",

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 = "Fault detection, Induction machine, Semi-classical signal analysis",

author = "Fadi Eleiwi and Kirati, {Taous Meriem Laleg}",

year = "2013",

month = jan,

day = "1",

language = "English (US)",

booktitle = "IET Conference on Control and Automation 2013",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

note = "2013 IET Conference on Control and Automation: Uniting Problems and Solutions ; Conference date: 04-06-2013 Through 05-06-2013",

}

TY - GEN

T1 - Fault detection of induction machine using semi-classical signal analysis method

AU - Eleiwi, Fadi

AU - Kirati, Taous Meriem Laleg

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

KW - Fault detection

KW - Induction machine

KW - Semi-classical signal analysis

UR - http://www.scopus.com/inward/record.url?scp=85013679258&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85013679258

BT - IET Conference on Control and Automation 2013

PB - Institution of Engineering and Technology

T2 - 2013 IET Conference on Control and Automation: Uniting Problems and Solutions

Y2 - 4 June 2013 through 5 June 2013

ER -

Fault detection of induction machine using semi-classical signal analysis method

Abstract

Conference

Keywords

ASJC Scopus subject areas

Other files and links

Cite this