IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02
DOI: 10.1109/iecon.2002.1185536
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Investigations of algorithms for bearing fault detection in induction drives

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Cited by 20 publications
(18 citation statements)
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“…A large overview of electrical machines failures and monitoring technics can be found in [1]. A classification of the most frequently encountered faults can be found in [2]. To improve the availability and reliability of the drive, a condition monitoring could be implemented to favour the predictive maintenance.…”
Section: Introductionmentioning
confidence: 99%
“…A large overview of electrical machines failures and monitoring technics can be found in [1]. A classification of the most frequently encountered faults can be found in [2]. To improve the availability and reliability of the drive, a condition monitoring could be implemented to favour the predictive maintenance.…”
Section: Introductionmentioning
confidence: 99%
“…Mechanical faults [1][2][3][4][5][6][7][8][9][10]: * broken rotor bars [1][2][3] * bearing damage [4][5][6] * dynamic eccentricity [7] Electrical Faults: * Single or multiple phase short circuits. * Open phase.…”
Section: Introductionmentioning
confidence: 99%
“…iR =VX I cos2z fs±t .f2bCos (2Zrfb b)±+2If COS (2Z ff1 Pf) (5) is =12aIcos(2fst-2z 13)+ X2lb2cos (2wfb-2z/ 3 Qb) (6) +2If cos(2zff 2z 3 -fr) iT=V2Icos(2zfst+2z13)+ V2Ibcos(2zrfb±+2z3 (b) ( Next approach shows how by using different wavelet functions could be used as a band pass filters, convoluting and scaling them fault detection method could be easy implemented on Microprocessor or DSP embedded system.…”
Section: Introductionmentioning
confidence: 99%
“…Mechanical faults [1][2][3][4][5][6][7]: broken rotor bars bearing damage dynamic eccentricity Electrical Faults [8][9]:…”
Section: Introductionmentioning
confidence: 99%