首页|Research from Guangxi University of Science and Technology in the Area of Machin e Learning Published (Current Status of Research on Fault Diagnosis Using Machin e Learning for Gear Transmission Systems)
Research from Guangxi University of Science and Technology in the Area of Machin e Learning Published (Current Status of Research on Fault Diagnosis Using Machin e Learning for Gear Transmission Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Liuzhou, People’s Republic of China, by NewsRx journalists, research stated, “Gear transmission system fault diagnosis is crucial for the reliability and safety of industrial machinery.” Funders for this research include Guangxi Science And Technology Program; Nation al Natural Science Foundation of China; Guangxi Natural Science Foundation. Our news reporters obtained a quote from the research from Guangxi University of Science and Technology: “The combination of mathematical signal processing meth ods with deep learning technology has become a research hotspot in fault diagnos is. Firstly, the development and status of gear transmission system fault diagno sis are outlined in detail. Secondly, the relevant research results on gear tran smission system fault diagnosis are summarized from the perspectives of time-dom ain, frequency domain, and time-frequency-domain analysis.”
Guangxi University of Science and Techno logyLiuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTechnology
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