Skip to main navigation
Skip to search
Skip to main content
PURE – TECNALIA CRIS Home
English
Español
Home
Profiles
Research units
Research output
Datasets
Doctoral theses
Equipment
Prizes
Search by expertise, name or affiliation
Fault analysis with modular neural networks
C. Rodríguez
*
, S. Rementería
, J. I. Martín
, A. Lafuente
, J. Muguerza
,
J. Pérez
*
Corresponding author for this work
GS
Foundation TECNALIA Research & Innovation
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Fault analysis with modular neural networks'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Power Engineering
100%
Fault Diagnosis
66%
Limitations
33%
Power Grid
33%
Adaptability
33%
Electrical Equipment
33%
Solution Network
33%
Computer Science
Neural Network
100%
Fault Diagnosis
50%
Presented Approach
25%
Computing Technology
25%
Electrical Network
25%
Expert System
25%
Electrical Equipment
25%
Chemical Engineering
Neural Network
100%
Scalability
50%