Lifetime Prediction for Bearings in Induction Motor

Chang, Shu-Tzu; Liu, Mengkun; Lan, Chen-Yang; Hsu, Wei-Ting

doi:10.1109/icphys.2019.8780366

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…In this paper, a control technique based on the SVPWM is performed for using vibration and acoustic noise experimental analysis in order to control the phase voltages of a three-phase induction motor. Despite previous methods that were based on the detection of bearing fault occurrence, the time and frequency features of construct regression models were extracted for predicting the bearing faults [22] .…”

Section: Introductionmentioning

confidence: 99%

Analyzing Vibration as a Useful Domain for Getting Bearing Fault Signals in Induction Motors

Tabasi

Ojaghi

Mostafavi

2021

IJE

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Section: Introductionmentioning

confidence: 99%

Analyzing Vibration as a Useful Domain for Getting Bearing Fault Signals in Induction Motors

Tabasi

Ojaghi

Mostafavi

2021

IJE

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“…Several factors contribute to this type of failure in this connection, such as thermal, electromagnetic stresses, fatigued parts, and centrifugal forces. Therefore, different failure detection methodologies have emerged as suitable tools to foster early failure detection that further prevents unexpected operation shutdowns and further extends service life [5,21]. Specifically, Tulicki et al [22] implemented a bispectral analysis methodology to predict broken bar failures.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Faults in the Squirrel Cage Three-Phase Induction Motors

Maestre-Cambronel

Rojas

Forero

2021

rev.ing.univ.Medellin

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Induction motors have played a central role in the techno-economic development of modern industries and electric power generation. However, the presence of recurring failures hinders a cost-effective performance and leads to catastrophic damage. Therefore, the present study proposed an assessment to investigate the influence of two types of failures in induction motors, namely failure due to broken bars in the rotor and defects in the connection between the rotor bars and the end ring. Accordingly, a three-phase induction motor was evaluated under different failure conditions that modified the operational torque and rotational speed. The results indicated that both types of failures magnify both the core and copper power losses by up to 13.3 % and 8 %, respectively, compared to the healthy condition. On the other hand, an efficiency reductionbetween 1.94 % to 3.41 % is an indication of failure progression. Finally, the appearance of harmonics 3 and 7, and the intensified magnitude of harmonic 5, represent a clear sign of failure occurrence related to rotor barsand defects in the connection to the end ring. In conclusion, the proposed methodology proved to be an adequate tool to predict failure appearance, which has a direct impact on extending the lifetime of induction motors.

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Lifetime Prediction for Bearings in Induction Motor

Cited by 2 publications

References 3 publications

Analyzing Vibration as a Useful Domain for Getting Bearing Fault Signals in Induction Motors

Analyzing Vibration as a Useful Domain for Getting Bearing Fault Signals in Induction Motors

Evaluation of Faults in the Squirrel Cage Three-Phase Induction Motors

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