z-logo
open-access-imgOpen Access
Fault Identification, Diagnosis, and Prognostics Based on Complex Signal Analysis
Author(s) -
Minvydas Ragulskis,
Chen Lü,
Maosen Cao,
Gangbing Song,
Rafał Burdzik
Publication year - 2018
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2018/4020729
Subject(s) - prognostics , identification (biology) , signal (programming language) , fault (geology) , computer science , data mining , pattern recognition (psychology) , reliability engineering , artificial intelligence , engineering , seismology , geology , botany , biology , programming language

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