Detection of stator winding faults in induction motors using three-phase current monitoring

2015 21st International Conference on Automation and Computing (ICAC)

Abusaad

et al. 2015

Section: Introductionmentioning

confidence: 99%

Detection and diagnosis of motor stator faults using electric signals from variable speed drives

2015 21st International Conference on Automation and Computing (ICAC)

Abusaad

et al. 2015

“…Sharifi, R. et. al [9] combined MCSA and examination of Rotor Slot Harmonics to diagnose inter-turn short-circuit faults in motor stator windings on non-inverter driven motors.…”

Section: G a Mccoymentioning

confidence: 99%

Investigation of reductions in motor efficiency caused by stator faults when operated from an inverter drive

Lane

2016 22nd International Conference on Automation and Computing (ICAC)

et al. 2016

Abstract-Inverter driven motor systems have seen wider use in industry as energy reduction methods. Studies have been undertaken previously to understand the effects of voltage imbalances on motor efficiency and deratings. However, this has not been covered in much detail on inverter-driven motor systems. This paper aims to study the effect that motor stator resistance imbalances have on motor efficiency when used on inverter-driven systems. Motor imbalances may remain undetected by the inverter drive and can result in overheating and premature failure of the motor. Motor efficiency monitoring is now of greater interest due to new IEC standards defining new AC motor efficiency classes and this is also reviewed along with the standards for motor efficiency and inverter-operated motors.

“…Furthermore (9) In Equation 9 the amplitude of ) ( ) ( f is unity. Thus the amplitude of the MSB peaks is determined purely by the magnitude of the sideband components.…”

Section: Sideband Extraction Using Modulation Signal Bispectrum (Msb)mentioning

confidence: 99%

“…Sharifi and Ebrahimi [9] developed a method for the diagnosis of short circuit faults. More details on MCSA have been presented in [10] on the new improved BRB diagnosis based on MSB.…”

Section: Introductionmentioning

confidence: 99%

Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives

2016 22nd International Conference on Automation and Computing (ICAC)

Lane

Haba

et al. 2016

Abstract-As a primer driver, induction motors are the most electric energy consuming component in industry. The exposure of the motor to stator winding asymmetry, combined with broken rotor bar fault significantly increases the temperature and reduces the efficiency and life of the motor. Accurate and timely diagnosis of these faults will help to maintain motors operating under optimal statues and avoid excessive energy consumption and severe damage to systems. This paper examines the performance of diagnosing the effect of asymmetry stator winding on broken rotor bar faults under closed loop operation modes. It examines the effectiveness of conventional diagnosis features in both motor current and voltage signals using spectrum and modulation signal bispectrum analysis (MSBA). Evaluation results show that the combined faults cause an additional increase in the sideband amplitude and this increase in sideband can be observed in both the current and voltage signals under the sensorless control mode. MSB analysis has a good noise reduction capability and produces a more accurate and reliable diagnosis in that it gives more correct indication of the fault severity and location for all operating conditions. Keywords-Induction motor; stator winding asymmetry and broken rotor bar faults; Variable speed drive; Motor current and voltage signatures analysis.