Evolutionary design of lifting scheme wavelet-packet adaptive filters for elevator fault detection

Author

Arpaia, Pasquale ; De Matteis, Ernesto ; Montenero, Giuseppe ; Manna, Carlo

Author_Institution

Dept. of Eng., Univ. of Sannio, Benevento, Italy

fYear

2010

fDate

3-6 May 2010

Firstpage

1155

Lastpage

1158

Abstract

An evolutionary-based procedure for designing adaptive filters based on second-generation wavelet (lifting scheme) packet decomposition for industrial fault detection is presented. The proposed procedure is validated by an experimental case study for induction motor fault diagnosis in an elevator system. Preliminary results on two typologies of faults, broken rotor bars and static air gap eccentricity, are discussed by showing encouraging performance.

Keywords

adaptive filters; evolutionary computation; fault diagnosis; induction motors; lifts; wavelet transforms; elevator fault detection; evolutionary design; lifting scheme; second-generation wavelet packet decomposition; wavelet-packet adaptive filters; Adaptive filters; Cultural differences; Discrete wavelet transforms; Electrical fault detection; Elevators; Fault detection; Fault diagnosis; Induction motors; Stators; Wavelet packets; Artificial Intelligence; Fault Diagnosis; Wavelet Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE

Conference_Location

Austin, TX

ISSN

1091-5281

Print_ISBN

978-1-4244-2832-8

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2010.5488007

Filename

5488007