Robotics & Machine Learning Daily News2024,Issue(Aug.16) :16-16.

South China University of Technology Researchers Discuss Findings in Machine Lea rning (Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery)

Robotics & Machine Learning Daily News2024,Issue(Aug.16) :16-16.

South China University of Technology Researchers Discuss Findings in Machine Lea rning (Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Guangzhou, People’s Republi c of China, by NewsRx editors, the research stated, “This paper presentsa compr ehensive survey on interpretable intelligent fault diagnosis for rotating machin ery, addressing thechallenge of the ‘black box’ nature of machine learning tech niques that hampers reliability in automateddiagnostic processes.”

Key words

South China University of Technology/Gu angzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machi ne Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文