Plant experience.
An engineering perspective.

Understanding how machines fail.

Ernesto Primera has built his career around understanding failure mechanisms and using engineering, data and technology to anticipate their impact on safety, production and availability. His experience began in mechanical maintenance and inspection, developed through vibration analysis and condition monitoring, and expanded into rotating equipment engineering, turbomachinery and corporate technical leadership.

Engineering in critical industrial environments.

He has worked with refineries, heavy-oil production, offshore facilities, gas processing, power plants and transportation systems. His experience covers pumps, compressors, gas and steam turbines, motors, gearboxes, bearings, mechanical seals, lubrication and auxiliary systems. It includes troubleshooting, overhaul, commissioning, FAT/SAT, RCA, performance analysis, RCM and FMEA.

Data extends the specialist’s capability.

Training in applied statistics and data analytics enables him to integrate information from sensors, control systems, historians and condition monitoring platforms. His current focus includes anomaly detection, diagnostics and prognostics, alongside the evaluation of machine learning, deep learning and AI agents to support analysis and decisions. Domain knowledge guides the interpretation of deviations and their operational relevance.

Industry, research and teaching.

Practical experience is complemented by applied research, scientific publications, international training and postgraduate university teaching. This connection brings real machinery problems into analytical methodologies and returns the results to industrial practice. Collaboration with universities and technical organizations is part of this knowledge transfer.