Maintenance by Algorithm: Thiago Bretas' Journey in Creating Predictive Models for Complex Infrastructures

This article presents the innovative career of Thiago Muniz Bretas, a Brazilian engineer recognized for his pioneering work in predictive maintenance within complex infrastructure environments. With over 20 years of experience in electrical engineering and operational reliability, Bretas combines technical expertise with data-driven strategies to develop intelligent models that optimize performance, prevent failures, and ensure continuity in critical systems such as corporate buildings, television studios, and energy plants. His trajectory includes high-impact projects in Brazil — like the retrofit of Estúdios Globo — and his current leadership at TechnipFMC in Houston, where he applies predictive algorithms to industrial maintenance. The article highlights his unique hybrid profile, blending engineering, automation, and analytics, and explores the long-term value of his work in promoting sustainable, efficient, and resilient infrastructures.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15865617
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
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article

Maintenance by Algorithm: Thiago Bretas' Journey in Creating Predictive Models for Complex Infrastructures

Zenodo (CERN European Organization for Nuclear Research)
Power System Reliability and Maintenance
article

Maintenance by Algorithm: Thiago Bretas' Journey in Creating Predictive Models for Complex Infrastructures

article en

Abstract

This article presents the innovative career of Thiago Muniz Bretas, a Brazilian engineer recognized for his pioneering work in predictive maintenance within complex infrastructure environments. With over 20 years of experience in electrical engineering and operational reliability, Bretas combines technical expertise with data-driven strategies to develop intelligent models that optimize performance, prevent failures, and ensure continuity in critical systems such as corporate buildings, television studios, and energy plants. His trajectory includes high-impact projects in Brazil — like the retrofit of Estúdios Globo — and his current leadership at TechnipFMC in Houston, where he applies predictive algorithms to industrial maintenance. The article highlights his unique hybrid profile, blending engineering, automation, and analytics, and explores the long-term value of his work in promoting sustainable, efficient, and resilient infrastructures.

Zenodo (CERN European Organization for Nuclear Research)
City University of New York (US), City University (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Power System Reliability and Maintenance
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Maintenance by Algorithm: Thiago Bretas' Journey in Creating Predictive Models for Complex Infrastructures · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS