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March 14, 2026Scientific Reports0 citationsOpen Access

In-situ efficiency and parameter estimation for induction motors using heuristic optimization

MGMurat GöztaşMSMehmet Akif SahmanMÇMehmet Çunkaş

Key Points

  • This research aims to develop a non-intrusive method for estimating the efficiency of induction motors during operation.
  • Applied eight meta-heuristic algorithms to evaluate motor efficiency.
  • Studied six induction motors of varying power ratings and load conditions.
  • Utilized field-measurable electrical quantities for assessments.
  • Validated results against standard test data.
  • Achieved mean absolute errors below 0.7% at full load.
  • Demonstrated high accuracy and stability in efficiency monitoring.
  • Enabled continuous efficiency assessments under real operating conditions.

Abstract

Electric motors, especially three-phase induction motors, consume a significant portion of industrial electricity, making their efficiency critical for energy conservation. Traditional efficiency assessments require intrusive, labor-intensive laboratory tests, limiting in-situ evaluations. We propose a non-intrusive, heuristic optimization-based method compliant with IEEE Std-112 A/F1 to simultaneously estimate equivalent circuit parameters and in-situ efficiency using only field-measurable electrical quantities. Eight meta-heuristic algorithms were applied across six motors of varying power ratings and load conditions, with results validated against standard test data. The method achieved mean absolute errors below 0.7% at full load, demonstrating high accuracy and stability. This approach enables reliable, low-cost, and continuous efficiency monitoring under real operating conditions, offering practical benefits for industrial energy management and motor performance assessment.

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Cite This Study

Göztaş et al. (2026) studied this question.

synapsesocial.com/papers/69b4fb1bb39f7826a300ba4fhttps://doi.org/10.1038/s41598-025-34932-1
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