Adrián Rodríguez Ramos

Orcid: 0000-0002-0240-7491

According to our database1, Adrián Rodríguez Ramos authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
A Proposal of Robust Condition Monitoring Scheme for Industrial Systems.
Computación y Sistemas (CyS), 2023

An Improved Fault Diagnosis Scheme Based on a Type-2 Fuzzy Classification Algorithms.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

A New Proposal for Detection and Location of Cyberattacks in Industrial Processes.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

2022
A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

2021
A Robust Fault Diagnosis Strategy in Mechanical Systems Using Pythagorean Fuzzy Sets.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2019
An approach to robust fault diagnosis in mechanical systems using computational intelligence.
J. Intell. Manuf., 2019

An approach to multiple fault diagnosis using fuzzy logic.
J. Intell. Manuf., 2019

2018
An approach to fault diagnosis with online detection of novel faults using fuzzy clustering tools.
Expert Syst. Appl., 2018

An approach for fault diagnosis using a novel hybrid fuzzy clustering algorithm.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
A novel fault diagnosis scheme applying fuzzy clustering algorithms.
Appl. Soft Comput., 2017

An Approach to Fault Diagnosis Using Fuzzy Clustering Techniques.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

A Proposal of On-Line Detection of New Faults and Automatic Learning in Fault Diagnosis.
Proceedings of the Soft Computing Based Optimization and Decision Models, 2017


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