A novel detection algorithm spotted moderate-to-severe aortic stenosis (AS) with a sensitivity of 90.5% of all patients and ...
The detection and study of isotopes, atoms of the same element that have different numbers of neutrons, could expand the ...
This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...
InfraTec’s E-LIT automated test solution provides high-fidelity inspection for advanced electronic and semiconductor modules ...
While analyzing strong-motion data close to fault lines, a group of researchers at Kyoto University noticed something ...
Rising violence within Yemen’s Houthi movement is highlighting deep internal divisions, as competition over influence and ...
Researchers have proposed a model-based diagnostic framework for electric vertical take-off and landing aircraft battery ...
Abstract: Sensors play a critical role in industrial applications, but are susceptible to faults caused by various internal and external factors. Traditional data-driven methods for sensor fault ...
Fault diagnosis method for high-voltage circuit breakers based on physics-informed transfer learning
This study proposes a fault detection method for high-voltage circuit breakers based on multi-source information and motion analysis. First, a 1-dimensional recurrent neural network (1DRNN) is used to ...
Abstract: In this paper, we propose a novel sensor and actuator fault detection and isolation (FDI) method for redundant urban air mobility systems to effectively utilize the system’s inherent ...
Sense, a company focused on grid edge intelligence, has announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation smart meters. The software gives utilities ...
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