Diagnostic Analytics Powered by IoT and Machine Learning for the Fault Evaluation of a Heavy-Industry Gearbox
Ernesto Primera; Daniel Fernández; Alvaro Rodríguez-Prieto
Machines 14(2), 187
DOI: 10.3390/machines14020187Original source
ERNESTO PRIMERA / INTERNATIONAL EXPERIENCE
Scientific publications
and technical contributions.
Reliability, condition monitoring, wireless sensing, predictive analytics and simulation.
Publications
Selected bibliography.
Original source
Coupled Multiphysics Simulation for Root Cause Analysis of Process Flow Vibrations in Piping Systems
Paul Bosauder; Ernesto Primera; Alvaro Rodríguez-Prieto
ASME Fluids Engineering Division Summer Meeting (FEDSM)
DOI: 10.1115/FEDSM2025-158525Original source
Predictive Analytics-Based Methodology Supported by Wireless Monitoring for the Prognosis of Roller-Bearing Failure
Ernesto Primera; Daniel Fernández; Andrés Cacereño; Alvaro Rodríguez-Prieto
Machines 12(1), 69
DOI: 10.3390/machines12010069Original source
Multicriteria Analytical Model for Mechanical Integrity Prognostics of Reactor Pressure Vessels Manufactured from Forged and Rolled Steels
Alvaro Rodríguez-Prieto; Manuel Callejas; Ernesto Primera; Guglielmo Lomonaco; Ana María Camacho
Mathematics 10(10), 1779
DOI: 10.3390/math10101779Original source
Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements
Alvaro Rodríguez-Prieto; Ernesto Primera; Mariaenrica Frigione; Ana María Camacho
Polymers 13(6), 943
DOI: 10.3390/polym13060943Original source
Reliability-Based Evaluation of the Suitability of Polymers for Additive Manufacturing Intended for Extreme Operating Conditions
Alvaro Rodríguez-Prieto; Ernesto Primera; Manuel Callejas; Ana M. Camacho
Polymers 12(10), 2327
DOI: 10.3390/polym12102327Original source
Exposing Performance Threats: A Case Study on Nozzle Loads in Overhung Pumps
Turbomachinery & Pump Symposia
Ernesto Primera · Speaker
Technical lecture · September 16, 2025 · 9:30–10:15 · Houston, Texas.
Event programResearch
Other areas of contribution.
The master documents also record contributions related to the reliability of materials and polymers under severe conditions. The bibliography above includes contributions identified in official sources.
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