Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2832-8
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2010.5488007
