首页|Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Bolted Lap Joint Loosening Monitoring and Damage Ident ification Based On Acoustic Emission and Machine Learning)
Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Bolted Lap Joint Loosening Monitoring and Damage Ident ification Based On Acoustic Emission and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Beijing, Peop le’s Republic of China, by NewsRx journalists, research stated, “Monitoring bolt looseness in joint structures is vital for their safety and integrity. The rela tionship between bolt looseness-sensitive acoustic emission (AE) feature selecti on and damage mechanisms is unclear.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing
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