z-logo
open-access-imgOpen Access
Fault diagnosis by using multi-scale signed directed graph
Author(s) -
Husnain Ali,
Abdulhalim Shah Maulud,
Haslinda Zabiri,
Muhammad Nawaz,
Lukman Ismail
Publication year - 2022
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/5.0093249
Subject(s) - directed graph , process (computing) , computer science , fault (geology) , representation (politics) , spurious relationship , chemical process , graph , process control , work in process , graph theory , fault detection and isolation , scale (ratio) , directed acyclic graph , theoretical computer science , engineering , artificial intelligence , algorithm , mathematics , machine learning , operations management , law , operating system , political science , chemical engineering , seismology , politics , geology , actuator , quantum mechanics , physics , combinatorics

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