Mariela Cerrada-Lozada

According to our database1, Mariela Cerrada-Lozada
  • authored at least 35 papers between 2001 and 2018.
  • has a "Dijkstra number"2 of five.



In proceedings 
PhD thesis 




Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN.
Journal of Intelligent and Fuzzy Systems, 2018

Feature engineering based on ANOVA, cluster validity assessment and KNN for fault diagnosis in bearings.
Journal of Intelligent and Fuzzy Systems, 2018

Gearbox fault classification using dictionary sparse based representations of vibration signals.
Journal of Intelligent and Fuzzy Systems, 2018

A comparison of fuzzy clustering algorithms for bearing fault diagnosis.
Journal of Intelligent and Fuzzy Systems, 2018

A semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes.
Journal of Intelligent and Fuzzy Systems, 2018

Echo state network and variational autoencoder for efficient one-class learning on dynamical systems.
Journal of Intelligent and Fuzzy Systems, 2018

A fuzzy transition based approach for fault severity prediction in helical gearboxes.
Fuzzy Sets and Systems, 2018

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.
Computers in Industry, 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

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.
Sensors, 2016

Fuzzy determination of informative frequency band for bearing fault detection.
Journal of Intelligent and Fuzzy Systems, 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. of AI, 2016

Hierarchical feature selection based on relative dependency for gear fault diagnosis.
Appl. Intell., 2016

Clustering algorithm using rough set theory for unsupervised feature selection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Collective Learning in Multi-Agent Systems Based on Cultural Algorithms.
CLEI Electron. J., 2014

Methodological framework for data processing based on the Data Science paradigm.
Proceedings of the XL Latin American Computing Conference, 2014

Cultural learning for Multi-Agent System and its application to fault management.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Mathematical Models of Coordination Mechanisms in Multi-Agent Systems.
CLEI Electron. J., 2013

Cultural Algorithms-based learning model for multi-agent systems.
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

Methodology for detecting the feasibility of using data mining in an organization.
Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

A Methodology for Modeling Systems of Engineering based on Agents.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2008

Agents-based design for fault management systems in industrial processes.
Computers in Industry, 2007

A Methodology to Specify Multiagent Systems.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007

Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Dynamical membership functions: an approach for adaptive fuzzy modelling.
Fuzzy Sets and Systems, 2005

A Multiagent Model for Intelligent Distributed Control Systems.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Multi-Agents Based Reference Model for Fault Management System in Industrial Processes.
Proceedings of the ICINCO 2004, 2004

Intelligent Hybrid System: A Reliability-Based Failure Management Application.
JACIII, 2001