K-Means Clustering for Induction Motor Performance
Tanvir Ferrari
Corresponding
Indian Institute of Science
Abstract
Interest in induction motor performance has grown steadily as the scale and complexity of medical image analysis continue to increase. Samples representative of medical image analysis were prepared and examined following established testing standards. Sensitivity analysis showed that induction motor performance accounted for more than 59% of the total variation. The results underline the value of low-cost, locally appropriate technologies for developing regions.
Keywords:
induction motor performancek-means clusteringvoltage stabilityload flow analysisdigital signal processinggroundwater contamination
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