Studies from Xi’an University of Posts and Telecommunications in the Area of Int elligent Systems Reported (A Multi-scale Spatialtemporal Capsule Network Based On Sequence Encoding for Bearing Fault Diagnosis)

Robotics & Machine Learning Daily News2024，Issue(Jul.5) ：53-53.

来源：

NETL
NSTL

Studies from Xi’an University of Posts and Telecommunications in the Area of Int elligent Systems Reported (A Multi-scale Spatialtemporal Capsule Network Based On Sequence Encoding for Bearing Fault Diagnosis)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning - In telligent Systems have been presented. Accordingto news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “TheCapsule Ne twork (CapsNet) has been shown to have significant advantages in improving the a ccuracy ofbearing fault identification. Nevertheless, the CapsNet faces challen ges in identifying the type of bearingfault under nonstationary and noisy condi tions.”

Key words

Xi’an/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Xi’an University of Posts and Telecommun ications

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航