DocumentCode :
1977020
Title :
Evaluation of Classic and Innovative Sideband-Based Broken Bar Indicators by Using an Experimental Cage and a Transformed (n, m) Complex Model
Author :
Bruzzese, Claudio ; Honorati, Onorato ; Santini, Ezio
Author_Institution :
Univ. of Rome "La Sapienza", Rome
fYear :
2007
fDate :
4-7 June 2007
Firstpage :
1264
Lastpage :
1269
Abstract :
In this work the results of a measuring and simulation campaign performed on an experimental induction motor with artificial broken bars are presented, aiming to extract spectral current components useful for fault detection. With non- sinusoidal feeding a lot of frequencies other than (1-2s)f (lower- sideband, LSB) and (1+2s)f (upper-sideband, USB) arise, in proximity of low-order current harmonics, that can be good fault indicators. Current signature analysis-based techniques (CSABT) can take advantage by these harmonic current sidebands (HCSBs) since they are less dependent on load, frequency, drive inertia and motor parameters, so producing a better fault estimation. The measures were matched with simulations carried out by using a topologically complete mathematical complex model. Machine parameters were obtained by 2D and 3D FEA. A comparison between LSB/USB-based indicators (LUSBBIs) and HCSB-based indicators (HCSBBIs) suggests to use the latter whenever a broken bar diagnosis must be attempted for inverter-fed motors.
Keywords :
fault diagnosis; finite element analysis; induction motors; motor drives; FEA; complex model; current signature analysis-based techniques; drive inertia; fault detection; fault estimation; fault indicators; harmonic current sidebands; induction motor; inverter-fed motors; low-order current harmonics; mathematical complex model; motor parameters; sideband-based broken bar indicators; spectral current components; Bars; Circuit faults; Condition monitoring; Induction motors; Inverters; Maintenance; Rail transportation; Stators; Traction motors; Universal Serial Bus; Broken bars; finite elements; harmonic current sidebands; identification; multiphase model; spectral analyses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
Conference_Location :
Vigo
Print_ISBN :
978-1-4244-0754-5
Electronic_ISBN :
978-1-4244-0755-2
Type :
conf
DOI :
10.1109/ISIE.2007.4374780
Filename :
4374780
Link To Document :
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