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Ionospheric Anomalies: Detecting Earthquake Signatures Using GNSS and AI - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

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
United Kingdom United States North Korea Alaska Peninsula Aleutian Islands Sakhalinskaya Oblast

"Fault Analysis and Diagnosis for Induction Motor Based on Hilbert Tran" by Yangsheng Zhang, Yi Liu et al.

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 improv...
Asynchronous Induction Motor Current Analysis Fault Diagnosis Euristic Intelligent Algorithms Hilbert Transform Vm Classification
Source: uow.edu.au

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