Abstract: Early fault classification using the Motor Current Signature Analysis approach is extremely challenging for many reasons: prior knowledge of the descriptive parameters of the acquired stator ...
Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...
Abstract: The principal component analysis approach (PCAA) for the location of the power system fault in a 150 km length, 400 kV and 50 Hz, Thyristor-Controlled Series- Compensated Transmission Line ...
Nuclear imaging for industrial process analysis and non-destructive component testing has been around for longtime, but progression and innovation in this field has been limited and not as advanced ...
MATLAB, short for Matrix Laboratory, is a high-level programming language and software environment developed by MathWorks. It excels in numerical computation, data analysis, and algorithm development.
Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust ...
ABSTRACT: In the process of deepening the supply-side reform, China’s economic operation has shown a good momentum of steady development, and consumption has begun to play a prominent role in ...
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