Outdated targeting data may have resulted in a mistaken missile strike, according to the ongoing military investigation, which undercuts President Trump’s assertion that Iran could be to blame. By ...
Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
As semiconductor applications in automotive, data center, and high-performance computing grow increasingly mission-critical, the industry faces mounting pressure to achieve near-perfect manufacturing ...
IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...
Reliable fault detection is essential for ensuring the safe and efficient operation of electrochemical energy storage systems, including lithium-ion batteries and transformer. However, the performance ...
Abstract: Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification ...