Abstract: Effective fault diagnosis is essential to ensure the safe and reliable operation of equipment. In recent years, several transfer learning-based methods for diagnosing faults under variable ...
Only 6% of US exchange-traded funds surveyed anticipated any capital gains distribution in 2025, and just 2% expected amounts above 1% of net asset value. The 10 largest distributions were mainly tied ...
Abstract: Accurate fault classification and location are critical to ensure the reliability and resilience of large-scale power distribution systems (PDSs). The existing data-driven works in this area ...
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