Abstract
Various algorithms have been put forth for an efficiency estimation of an in-service induction motor with varying intrusion levels and accuracy. In the field, it is hard to reach the terminals of an in-service motor because of its location. This paper helps a field engineer to choose properly an efficiency estimation method for condition monitoring of an in-service induction motor. In this paper, the author put forth an approach based on symmetrical components to assess the efficiency of induction machine working on unbalanced power supplies at any loading condition. A comparison is done between two offline intelligence techniques like gravitational search (GS) algorithm and cuckoo search (CS) algorithm for estimating the efficiency of an induction machine by using limited measurements. The merit of these techniques is that the motor is not taken out from its place of installation for testing. Also, the highly intrusive no-load test is avoided. Simulations and experimental results support and validate the carried-out research.
Published Version
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