首页|Study Results from Aarhus University in the Area of Machine Learning Reported [Multimodal Temperature Sensing Using Electromechanical Impedance (Emi) for Struc tural Health Monitoring]
Study Results from Aarhus University in the Area of Machine Learning Reported [Multimodal Temperature Sensing Using Electromechanical Impedance (Emi) for Struc tural Health Monitoring]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Aarhus, Denmark, by NewsRx correspondents, research stated, “In this article, we proposea new mu ltimodal sensing approach in which electromechanical impedance (EMI) signatures are used tosense temperature in addition to structural health monitoring (SHM) for which the technique is commonlyused. Here, we use machine learning to estim ate temperature differences between signatures, enabling theEMI sensor to serve not only as a corrosion sensor but also as a temperature sensor.”
AarhusDenmarkEuropeCyborgsEmergi ng TechnologiesMachine LearningAarhus University
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