Mariela Cerrada-Lozada
Orcid: 0000-0003-4379-8836
According to our database1,
Mariela Cerrada-Lozada
authored at least 51 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor.
Sensors, January, 2024
2023
Rainfall Forecasting using a Bayesian framework and Long Short-Term Memory Multi-model Estimation based on an hourly meteorological monitoring network. Case of study: Andean Ecuadorian Tropical City.
Earth Sci. Informatics, June, 2023
Poincaré Plot Features and Statistical Features From Current and Vibration Signals for Fault Severity Classification of Helical Gear Tooth Breaks.
J. Comput. Inf. Sci. Eng., 2023
2022
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM.
J. Intell. Manuf., 2022
A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines.
Expert Syst. Appl., 2022
Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis.
IEEE Access, 2022
2021
One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning.
IEEE Trans. Ind. Electron., 2021
2020
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification.
Inf. Sci., 2020
Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor.
Neurocomputing, 2020
2019
IEEE Trans. Fuzzy Syst., 2019
A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering.
Knowl. Inf. Syst., 2019
Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes.
Comput. Intell. Neurosci., 2019
Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery.
IEEE Access, 2019
2018
Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN.
J. Intell. Fuzzy Syst., 2018
Feature engineering based on ANOVA, cluster validity assessment and KNN for fault diagnosis in bearings.
J. Intell. Fuzzy Syst., 2018
Gearbox fault classification using dictionary sparse based representations of vibration signals.
J. Intell. Fuzzy Syst., 2018
J. Intell. Fuzzy Syst., 2018
A semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes.
J. Intell. Fuzzy Syst., 2018
Echo state network and variational autoencoder for efficient one-class learning on dynamical systems.
J. Intell. Fuzzy Syst., 2018
Procedure Based on Semantic Similarity for Merging Ontologies by Non-Redundant Knowledge Enrichment.
Int. J. Knowl. Manag., 2018
A fuzzy transition based approach for fault severity prediction in helical gearboxes.
Fuzzy Sets Syst., 2018
2017
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification.
Knowl. Based Syst., 2017
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery.
Expert Syst. Appl., 2017
Integration in industrial automation based on multi-agent systems using cultural algorithms for optimizing the coordination mechanisms.
Comput. Ind., 2017
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation.
Appl. Soft Comput., 2017
SOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery.
Proceedings of the 2017 IEEE Symposium on Service-Oriented System Engineering, 2017
2016
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.
Sensors, 2016
J. Intell. Fuzzy Syst., 2016
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions.
Neurocomputing, 2016
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification.
Eng. Appl. Artif. Intell., 2016
Hierarchical feature selection based on relative dependency for gear fault diagnosis.
Appl. Intell., 2016
A methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal.
Sensors, 2015
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis.
Neurocomputing, 2015
Invertible singleton fuzzy models: application to petroleum production control systems.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
CLEI Electron. J., 2014
Proceedings of the XL Latin American Computing Conference, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
CLEI Electron. J., 2013
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013
2008
Inteligencia Artif., 2008
2007
Comput. Ind., 2007
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Fuzzy Sets Syst., 2005
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
2004
Multi-Agents Based Reference Model for Fault Management System in Industrial Processes.
Proceedings of the ICINCO 2004, 2004
2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
2001
J. Adv. Comput. Intell. Intell. Informatics, 2001