Skip to main navigation
Skip to search
Skip to main content
Universidad Politécnica Salesiana Home
English
Español
Home
Profiles
Research units
Projects
Research output
Press/Media
Search by expertise, name or affiliation
Fault Diagnosis of Pumps and Reciprocating Compressors Through Condition Monitoring Signal Analysis Employing Machine Learning Techniques
Sanchez Loja, Rene Vinicio
(PI)
Cabrera Mendieta, Diego Roman
(Col)
Lucero Otorongo, Pablo Moises
(Student)
Macancela Poveda, Jean Carlo
(Student)
Ortiz Farfan, Christian German
(Student)
Perez Rivera, Ivan Andres
(Student)
Villacis Marin, Mauricio Leonardo
(Student)
Pacheco Montilla, Fannia Karolina
(CoI)
Vásquez, Rafael
(CoI)
Valente De Oliveira, José Luís
(CoI)
Research and Development Group in Industrial Technologies (GIDTEC)
Overview
Fingerprint
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Engineering Technology
100%
Condition Monitoring Signals
100%
Automation Technology
100%
Fault Diagnosis
100%
Reciprocating Compressor
100%
Control Engineering
100%
Signal Analysis
100%
Machine Learning Techniques
100%
Control Automation
100%
Pump Compressor
100%
INIS
pumps
100%
fault tree analysis
100%
signals
100%
compressors
100%
automation
100%
engineering
100%
machine learning
100%
control
100%
monitoring
100%
Engineering
Monitoring Signal
100%
Reciprocating Compressors
100%
Control Engineering
100%
Condition Monitoring
100%
Fault Diagnosis
100%
Machine Learning Technique
100%