A study, led by Dr. Wentao Huang, overcame a critical gap in five-phase permanent magnet synchronous motor (PMSM) diagnostics: conventional methods fail to assess inter-turn short-circuit (ITSC) severity. The method integrates two technologies: a real-time tracker that diagnoses faults, and an AI analyzer that processes signals to quantify damage while estimating short-circuit parameters.
Motor safety: AI-powered warning system enhances capability to uncover hidden faults
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
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AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
