首页|Researchers from University College London (UCL) Report Findings in Machine Lear ning (Investigating the Performance and Safety of Li-ion Cylindrical Cells Using Acoustic Emission and Machine Learning Analysis)
Researchers from University College London (UCL) Report Findings in Machine Lear ning (Investigating the Performance and Safety of Li-ion Cylindrical Cells Using Acoustic Emission and Machine Learning Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in London, United Kingdo m, by NewsRx journalists, research stated, “Acoustic emission (AE)is a low-cost , non-invasive, and accessible diagnostic technique that uses a piezoelectric se nsor to detectultrasonic elastic waves generated by the rapid release of energy from a localised source. Despite theubiquity of the cylindrical cell format, A E techniques applied to this cell type are rare in literature due tothe complex ity of acoustic wave propagation in cylindrical architectures alongside the chal lenges associatedwith sensor coupling.”
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningUniversity College London (UCL)
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