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This study identifies the feasibility of leveraging deep learning anomaly detection to identify event-driven traveling ionospheric disturbances (TIDs). DR. JIHYE PARK, FIONA LUHRMANN, DR. WENG-KEEN WONG, OREGON STATE UNIVERSITY Ionospheric responses to various geophysical events have been studi
:guitar::magic_wand: DSP made easy. The Chata programming language! :long_drum: - GitHub - Slackadays/Chata: :guitar::magic_wand: DSP made easy. The Chata programming language! :long_drum:
Concise summary of the Hilbert transform: mathematics, effects on signals, and applications in telecommunications.
With the wide applications of the asynchronous induction motor (IM), various kinds of the electrical and the mechanical faults have been appearing, the main ones of which are the inter-turn short circuit of the stator, the broken-bar of the rotor and the air-gap eccentricity. This paper analyzes the current and the torque of the IM under fault conditions as well as providing fault components. Hilbert transform and the support vector machine (SVM) multi-classification method are applied to improve the sensitivity of fault identification and eliminate the interference of the environmental electr...