Rotor bar breakage data obtained from fatigue test

Alarcon, Vicente Climente; Riera-Guasp, M.

doi:10.17863/cam.45157

Cited by 1 publication

(3 citation statements)

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“…The proposed adaptive scheme has been validated using two simulated induction motor models (Motor I and Motor II previously described in Table 1 ), in addition to the experimental dataset provided online in [ 34 ]. The threshold has been determined using the proposed procedure steps in Section 5 .…”

Section: Testing Results For Proposed Scheme Performancementioning

confidence: 99%

“…The proposed scheme has also been validated under different severity conditions using the experimental dataset provided online in [ 34 ]. The dataset is utilized in several published work such as [ 39 , 40 ].…”

Section: Testing Results For Proposed Scheme Performancementioning

confidence: 99%

“… Sample of rotor photos and current waveforms for the dataset provided in [ 34 ]. ( a ) A photo of the rotor with two holes drilled at one bar [ 39 ].…”

Section: Figurementioning

confidence: 99%

See 2 more Smart Citations

Adaptive Scheme for Detecting Induction Motor Incipient Broken Bar Faults at Various Load and Inertia Conditions

Atta

Ibrahim

Gilany

et al. 2022

Sensors

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This paper introduces a novel online adaptive protection scheme to detect and diagnose broken bar faults (BBFs) in induction motors during steady-state conditions based on an analytical approach. The proposed scheme can detect precisely adjacent and non-adjacent BBFs in their incipient phases under different inertia, variable loading conditions, and noisy environments. The main idea of the proposed scheme is monitoring the variation in the phase angle of the main sideband frequency components by applying Fast Fourier Transform to only one phase of the stator current. The scheme does not need any predetermined settings but only one of the stator current signals during the commissioning phase. The threshold value is calculated adaptively to discriminate between healthy and faulty cases. Besides, an index is proposed to designate the fault severity. The performance of this scheme is verified using two simulated motors with different designs by applying the finite element method in addition to a real experimental dataset. The results show that the proposed scheme can effectively detect half, one, two, or three broken bars in adjacent/non-adjacent versions and also estimate their severity under different operating conditions and in a noisy environment, with accuracy reaching 100% independently from motor parameters.

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Section: Testing Results For Proposed Scheme Performancementioning

confidence: 99%