z-logo
open-access-imgOpen Access
Fault diagnosis method based on the multi-head attention focusing on data positional information
Author(s) -
Xiaoliang Feng,
Guang Zhao,
Yi Wang,
Dijun Gao,
Han Ding
Publication year - 2022
Publication title -
measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 21
eISSN - 2051-8730
pISSN - 0020-2940
DOI - 10.1177/00202940221126497
Subject(s) - fault (geology) , computer science , data mining , missing data , process (computing) , position (finance) , fault model , test data , pattern recognition (psychology) , fault coverage , rotor (electric) , artificial intelligence , algorithm , machine learning , engineering , mechanical engineering , finance , seismology , economics , programming language , geology , operating system , electrical engineering , electronic circuit

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom