Fault diagnosis in reciprocating compressor bearings: an approach using LAMDA applied on current signals

Author:

Cerrada Mariela,Montalvo Douglas,Zambrano Xavier,Cabrera Diego,Sánchez René Vinicio

Publisher

Elsevier BV

Subject

General Medicine

Reference23 articles.

1. The process of classification and learning the meaning of linguistic descriptors of concepts;Aguilar-Martin;Approximate reasoning in decision analysis,1982

2. Bayesian approach and time series dimensionality reduction to lstm-based model-building for fault diagnosis of a reciprocating compressor;Cabrera;Neurocomputing,2020

3. Comparing mcsa with vibration analysis in order to detect bearing faults—a case study;Corne,2015

4. Analysis of fault signatures for the diagnosis of induction motors fed by voltage source inverters using anova and additive models;Duque-Perez;Electric Power Systems Research,2015

5. Fault diagnosis by lamda methodology applied to drinking water plant;Hernandez;IEEE Latin America Transactions,2014

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