Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting from Santiago, Chile, by NewsRx journalists, research stated, "Electric motors play a fundamental rol e in various industries, and their relevance is strengthened in the context of t he energy transition." Funders for this research include Espol; Universidad Tecnica Federico Santa Mari a. The news journalists obtained a quote from the research from Technical Universit y Federico Santa Maria: "Having efficient tools and techniques to detect and dia gnose faults in electrical machines is crucial, as is providing early alerts to facilitate prompt decision-making. This study proposes indicators based on the m agnitude of the space vector stator current for detecting and diagnosing incipie nt inter-turn short circuits (ITSCs) in induction motors (IMs). The effectivenes s of these indicators was evaluated using four machine learning methods previous ly documented in the literature: random forests (RFs), support vector machines ( SVMs), the k-nearest neighbor (kNN), and feedforward and recurrent neural networ ks (FNNs and RNNs). This assessment was conducted using experimental data."
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