Man

David Godoy R.

Profesor Asistente

Universidad Técnica Federico Santa María

Santiago, Chile

Líneas de Investigación


Physical Asset Management; Mining Engineering; Reliability Engineering

Educación

  •  Ph.D. in Engineering Sciences, Majoring in Industrial Engineering (Doctoral Defense: Asset Management), PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2014
  •  Master of Science in Engineering, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2014
  •  Ph.D. in Engineering Sciences (Program undertaken in collaboration with PUC Chile), THE UNIVERSITY OF QUEENSLAND. Australia, 2015
  •  Industrial Engineer, UNIVERSIDAD DE ATACAMA. Chile, 2005
  •  Diplomado en Big Data y Machine Learning, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2025

Experiencia Académica

  •   Profesor Asistente Adjunto Part Time

    PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

    Chile

    2015 - 2017

  •   Instructor Académico Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Ingeniería

    Chile

    2017 - At present

Experiencia Profesional

  •   Reliability Engineer

    Anglo American - División Mantoverde (Servitem Ltda.)

    Chile

    2005 - 2006

  •   Project Consultant

    IXCatalog S.A. (IXC Consultores)

    Chile

    2006 - 2008

  •   Lead Researcher

    PUC (vía DICTUC S.A.)

    Chile

    2015 - At present


 

Article (15)

Methodology proposal for the development of failure prediction models applied to conveyor belts of mining material using machine learning
A Methodological Framework for Managing the Alarms in Wind Turbine Control and Data Acquisition Systems for Failure Analysis
A multi-objective two-stage stochastic unit commitment model for wind and battery-integrated power systems
Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions
Advancing Predictive Maintenance with PHM-ML Modeling: Optimal Covariate Weight Estimation and State Band Definition under Multi-Condition Scenarios
An Advanced Framework for Predictive Maintenance Decisions: Integrating the Proportional Hazards Model and Machine Learning Techniques under CBM Multi-Covariate Scenarios
An Integrated Approach: A Hybrid Machine Learning Model for the Classification of Unscheduled Stoppages in a Mining Crushing Line Employing Principal Component Analysis and Artificial Neural Networks
Optimizing Predictive Maintenance Decisions: Use of Non-Arbitrary Multi-Covariate Bands in a Novel Condition Assessment under a Machine Learning Approach
Value-based optimisation of replacement intervals for critical spare components
‘A model to optimize critical spare parts management under the impact of mine haul road conditions’.
A structured methodology to optimise throughput of production lines
A decision-making framework to integrate maintenance contract conditions with critical spares management
Critical spare parts ordering decisions using conditional reliability and stochastic lead time
Optimizing maintenance service contracts under imperfect maintenance and a finite time horizon
Throughput centered prioritization of machines in transfer lines

Proyecto (10)

Sistema autónomo de visión artificial para análisis cloud de diseño funcional-geométrico de caminos mineros como soporte a gestión de mantenimiento predictivo.
A decision-making framework to optimize mine haul road predictive maintenance interventions based on complex network conditions and truck management systems.
Sistema autónomo de mantenimiento basado en condición para plantas fotovoltaicas en climas desérticos y de alta radiación.
Desarrollo prototipo para análisis de aceites en tiempo real, para predecir fallas en equipos mineros de transporte y carga.
Design of a preventive maintenance plan for ATMs.
Desarrollo tecnológico para implementación de un modelo innovador para optimizar gestión de mantenimiento predictivo de componentes críticos de transformador de poder vía signos vitales.
Nuevo Servicio para la Optimización de Gestión de Repuestos Críticos en Minería.
Gestión del impacto de monitoreo de perfiles dinámicos de caminos mineros en productividad, rentabilidad de activos y seguridad.
OPTIMIZATION OF CRITICAL SPARES MANAGEMENT WITH NON-STATIONARY DEMAND
DEVELOPMENT OF A PHYSICAL ASSETS DECISION-SUPPORT-SYSTEM FOR CRITICAL SPARES
5
Rodrigo Pascual

Director

Ingeniería Mecánica

Universidad de Chile

Santiago, Chile

18
David Godoy R.

Profesor Asistente

Universidad Técnica Federico Santa María

Santiago, Chile