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January 1, 1986IEE Proceedings B Electric Power Applications

Vibration and current monitoring for detecting airgap eccentricity in large induction motors

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Authors

JCJames R. CameronRush University Medical CenterWTWilliam T. ThomsonWesleyan UniversityADA. B. DowCentral Electricity Generating Board

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Implication

Experimental study reveals unique current and vibration signatures of airgap eccentricity in large induction motors, indicating viable noninvasive online fault detection.

Key Points

  • To develop and evaluate an integrated online monitoring framework that uses line current and frame vibration to detect airgap eccentricity in large three-phase induction motors.
  • Formulated a theoretical framework predicting eccentricity-specific signature frequencies in current and vibration spectra.
  • Evaluated the monitoring method using a fault-producing laboratory test rig and on-site tests on industrial motors in a power station.
  • Identified distinct harmonic signatures in line current and frame vibration spectra that uniquely signify airgap eccentricity.
  • Experimentally validated theoretical predictions across both dedicated test rig settings and operational power plant conditions.

Cite This Study

Cameron et al. (1986) studied this question.

synapsesocial.com/papers/6a0dad07cae7912d2fa52f74https://doi.org/10.1049/ip-b.1986.0022
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions1999 · 147 citations
  2. 2Analysis of airgap flux, current and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors2002 · 367 citations
  3. 3On-line current monitoring to detect electrical and mechanical faults in three-phase induction motor drives1994 · 53 citations
  4. 4Fault detection of induction machine using artificial neural networks2024
  5. 5CONDITION MONITORING OF INDUCTION MOTOR USING MOTOR CURRENT SIGNATURE ANALYSIS2026