Broken rotor bars detection by a new non-invasive diagnostic procedure

Mechanical Systems and Signal Processing

Volumn 23, Issue 4, 2009, Pages 1398-1412

  Eltabach, Mario ^a   Antoni, Jerome ^a   Shanina, Galyna ^b   Sieg Zieba, Sophie ^c   Carniel, Xavier ^c  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c CETIM   (France)

Author keywords

Broken rotor bars detection; Induction motor fault signatures; Non invasive diagnostic; Rotating machinery; Signal processing

Indexed keywords

AC MOTORS; ELECTRIC NETWORK ANALYSIS; ELECTRIC POWER FACTOR; FAULT DETECTION; MACHINERY; MOTORS; POWER SPECTRUM; RELIABILITY; RELIABILITY ANALYSIS; ROTATING MACHINERY; ROTATION; SIGNAL PROCESSING; SPECTRUM ANALYZERS;

ANGULAR DISPLACEMENTS; BROKEN ROTOR BARS DETECTION; CURRENT SPECTRUM; DIAGNOSTIC METHODS; DIAGNOSTIC PROCEDURES; DIAGNOSTIC TECHNIQUES; ELECTRICAL SIGNALS; FAULT CHARACTERISTICS; FAULT TYPES; INDUCTION MOTOR FAULT SIGNATURES; LABORATORY EXPERIMENTS; MOTOR CURRENT SIGNATURE ANALYSIS; MOTOR PARAMETERS; NON-INVASIVE DIAGNOSTIC; PHASE CURRENTS; POWER FACTOR ANGLES; SEVERITY FACTORS; SPACE VECTORS; STATOR CURRENTS;

INDUCTION MOTORS;

EID: 59249091805     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2008.08.016     Document Type: Article

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