Energy optimization and retrofit in industrial electromechanical systems: a systematic analysis on fault diagnosis, automation, and operational Sustainability
Energy optimization and retrofit in industrial electromechanical systems: a systematic analysis on fault diagnosis, automation, and operational Sustainability
DOI:
https://doi.org/10.51473/rcmos.v1i2.2025.2108Keywords:
Industrial Retrofit. Energy Efficiency. Automation. Fault Diagnosis. Predictive Maintenance.Abstract
The obsolescence of industrial infrastructure, combined with the growing demand for energy efficiency and environmental compliance, imposes critical challenges on modern engineering and physical asset management. This scientific article proposes an exhaustive and technical analysis of retrofit (modernization) strategies and automation of electromechanical systems, focusing on the mandatory transition to Industry 4.0 paradigms. The methodology is based on a systematic and critical bibliographic review, correlating international technical standards (IEC/ISO), reliability-centered maintenance theories, and advanced energy efficiency protocols. The study is structured into seven high-density thematic axes, exploring everything from the thermodynamics of energy dissipation in motors and drives to the architecture of industrial networks for remote fault diagnosis. It discusses in detail how the implementation of data-driven diagnostics acts as a vector for reducing operational costs (OPEX) and extending asset lifecycles (CAPEX). The results indicate that industrial sustainability depends on the symbiotic integration between hardware modernization and automated control intelligence. It is concluded that maintenance engineering plays a fundamental role in orchestrating this complex technological transformation.
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Copyright (c) 2025 Sandro Mariano Rodrigues (Autor)
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