Renan Favarao da Silva

@usp.br

Production Engineering Department, Polytechnic School
University of São Paulo

Renan Favarao da Silva


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https://researchid.co/renanfavarao

RESEARCH, TEACHING, or OTHER INTERESTS

Industrial and Manufacturing Engineering, Mechanical Engineering
28

Scopus Publications

551

Scholar Citations

13

Scholar h-index

15

Scholar i10-index

Scopus Publications

  • Industrial Transformation Through Digital Maintenance Strategies
    Gilberto Francisco Martha de Souza, Renan Favarão da Silva
    Engineering Asset Management Review, 2026
  • A framework for planning underwater hull inspections based on computer vision and degradation assessment
    Edilson Gabriel Veruz, Alécio Julio Silva, Miguel Angelo de Carvalho Michalski, Renan Favarão da Silva, Gilberto Francisco Martha de Souza, et al.
    Ocean Engineering, 2025
  • Cluster Analysis to Define Operational Conditions for Systems Fault Detection
    Renan F. Da Silva, Miguel Angelo De Carvalho Michalski, Gilberto Francisco Martha De Souza
    Proceedings Annual Reliability and Maintainability Symposium, 2025
  • Evaluation of Corrosion Degradation Models Approaches for Risk-Based Inspection Planning in FPSO
    Proceedings of the International Offshore and Polar Engineering Conference, 2025
  • Risk Management of Physical Assets Supported by Maintenance Performance Indicators
    Renan Favarão da Silva, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza, Silvio Ikuyo Nabeta
    Sustainability Switzerland, 2024
    Many asset-intensive organizations implement risk management strategies to mitigate potential hazards associated with physical asset failures, such as infrastructure deterioration or mechanical breakdown. As these physical assets’ risks can be treated with maintenance activities, properly evaluating the performance of maintenance management is of interest for risk management. Accordingly, this paper proposes a framework for the determination of Maintenance Performance Indicators (MPIs) to support the risk management of physical assets. The proposed framework included four main processes: Integrate performance evaluation guidelines, Review the maintenance management strategy, Define the performance indicators, and Assess maintenance across the MPIs. The ISO 55000 series for asset management and the Balanced Scorecard (BSC) approach were the guidelines considered. The ISO 55001 standard provides three assessment domains for performance evaluation: asset portfolio, asset management, and asset management system. The BSC approach identifies four performance evaluation perspectives that were integrated to address the requirements of one of these asset management domains. Then, the MPIs were defined for each of the performance evaluation domains in line with the maintenance management strategy toward the risk management of physical assets. Through a case study, the proposed framework was demonstrated considering the operational context of a Brazilian hydroelectric power plant. As a result, the proposed framework was shown to be consistent in systematically determining the MPIs that support risk management in organizations.
  • A Fault Detection Framework Based on Data-Driven Digital Shadows
    Miguel Angelo de Carvalho Michalski, Arthur Henrique de Andrade Melani, Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    ASCE ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering, 2024
    The popularization of Industry 4.0 and its technological pillars has allowed prognostics and health management (PHM) strategies to be applied in complex systems to optimize their performance and extend their useful life by taking advantage of a digitalized, integrated environment. Due to this context, the use of digital twins and digital shadows, which are virtual representations of physical systems that provide real-time monitoring and analysis of the health and performance of the system, has been increasingly used in the application of fault detection, a key component of PHM. Taking that into consideration, this work proposes a framework for fault detection in engineering systems based on the construction and application of a digital shadow. This digital shadow is based on a digital model composed of a system of equations and a continuous, real-time communication process with a supervisory control and data acquisition (SCADA) system. The digital model is generated using monitoring data from the system under study. The proposed method was applied in two case studies, one based on synthetic data and another that uses a simulated database of an operational generating unit of a hydro-electric power plant. The method, in both case studies, was able to detect faults accurately and effectively. Besides, the method provides by-products that can be used in the future in other applications, helping with the PHM in other aspects.
  • Discussing the applicability of the maintenance management framework for asset management (MMFAM): a hydroelectric power plant case study
    Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Journal of Quality in Maintenance Engineering, 2024
    PurposeThe Maintenance Management Framework for Asset Management (MMFAM) is a recently modeled framework to ensure the alignment of maintenance management with physical asset management based on the ISO 55000 series for asset management. In this context, the purpose of this paper is to discuss the applicability of the MMFAM considering the operational context of a hydroelectric power plant.Design/methodology/approachThe paper adopted the case study method for the discussion of the applicability of the MMFAM to a real operational context. A hydroelectric power plant was chosen as the scope of the case study due to its relevance since the electricity sector is an example of an asset-intensive industry in which asset management performance is fundamental. To gain a detailed understanding of the organization, data were collected through direct requests to the plant, informal meetings with technical collaborators, a technical visit to the hydroelectric plant and on-site data collection. Then, the MMFAM processes were demonstrated based on this information and the results supported the discussion of the MMFAM applicability.FindingsThe case study provided a deeper understanding of the processes included in the MMFAM. In addition, the results suggested the applicability of the framework to other organizations besides the hydroelectric sector due to its generic approach and the possibility of choosing appropriate tools to support and implement the MMFAM processes.Practical implicationsThe case study is expected to contribute to the practical understanding of the MMFAM processes within an operational context and assist maintenance professionals and researchers in their implementation in other organizations.Originality/valueAlthough the literature provides different maintenance management frameworks, their practical discussion based on a real operational context is still a gap. Accordingly, this paper discusses the MMFAM under a case study method to expand its understanding beyond theory and contribute to practical comprehension in depth.
  • Reliability and Risk Centered Maintenance: A Novel Method for Supporting Maintenance Management
    Renan Favarão da Silva, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza
    Applied Sciences Switzerland, 2023
    Proper maintenance planning is critical for maintenance management to contribute to increasing availability, ensuring quality requirements, and controlling the safety and environmental risks associated with physical assets. As supporting tools for developing maintenance strategies, Reliability-Centered Maintenance (RCM) and Risk-Based Maintenance (RBM) methods are currently used in several organizations. Nevertheless, these strategies are often approached separately although they are complementary. In this context, this paper proposes a novel method that effectively integrates RCM and RBM by adapting the traditional RCM method to incorporate risk management into maintenance planning decision-making to support maintenance management. The proposed Reliability and Risk Centered Maintenance (RRCM) method allows organizations to determine maintenance plans that ensure the reliability of the physical assets while considering and prioritizing the risks associated with their potential functional failures. The proposed method was demonstrated through a case study considering the operational context of a hydroelectric power plant. The results show the ability of RRCM to assist in the development and implementation of maintenance plans oriented to reliability, risk, and cost.
  • Exploring Augmented Reality Applications to Support Maintenance Management in Hydroelectric Power Plants
    Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Lecture Notes in Mechanical Engineering, 2023
  • A Framework for In-Service Life Extension of Hydroelectric Generation Assets
    Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    ASCE ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering, 2022
    The integrity assessment of aged or worn out large electromechanical equipment units, such as in hydroelectric generators, for possible life extension has been identified as a growing challenge in the electrical power generation industry worldwide. Although the available recommended practices provide a general assessment process, it is necessary to have more detailed guidelines. This can be achieved by adding relevant theories and models which can capture time-dependent equipment unit degradation more precisely. Seeking to fulfill this gap, this work aims to present a framework that combines several techniques of data analysis, reliability, and decision-making to support engineers, operators, and managers in the often-complex decision process, regarding whether or not to extend the time in service of an equipment or system, thus postponing the moment of a scheduled maintenance shutdown. To demonstrate the application of the proposed framework, a case study is presented considering simulated scenarios based on data and information from a real Hydroelectric Power Plant. The results show how the reliability of the components and the remaining useful life of those in fault can impact the decision-making regarding the in-service life extension of a system.
  • Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines
    Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Journal of Quality in Maintenance Engineering, 2022
  • Petri net-based reliability and availability analysis to support asset management: a CODOG propulsion system case study
    Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Renan Favarão da Silva, Adherbal Caminada Netto, Gilberto Franciso Martha de Souza
    IFAC Papersonline, 2022
  • A Maintenance Management Improvement Framework for Asset Management
    Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Lecture Notes in Mechanical Engineering, 2022
  • Remaining Useful Life Estimation Based on an Adaptive Approach of Autoregressive Integrated Moving Average (ARIMA)
    Miguel Angelo de Carvalho Michalski, Arthur Henrique de, rade Melani, Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Proceedings of the 32nd European Safety and Reliability Conference Esrel 2022 Understanding and Managing Risk and Reliability for A Sustainable Future, 2022
  • Failure Mode and Observability Analysis (FMOA): An FMEA-based Method to Support Fault Detection and Diagnosis
    Renan Favarão da Silva, Arthur Henrique de, rade Melani, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza
    Proceedings of the 32nd European Safety and Reliability Conference Esrel 2022 Understanding and Managing Risk and Reliability for A Sustainable Future, 2022
  • Fault detection and diagnosis based on unsupervised machine learning methods: A kaplan turbine case study
    Miguel A. C. Michalski, Arthur H. A. Melani, Renan F. da Silva, Gilberto F. M. de Souza, Fernando H. Hamaji
    Energies, 2022
  • Deciding a multicriteria decision-making (Mcdm) method to prioritize maintenance work orders of hydroelectric power plants
    Renan Favarão da Silva, Marjorie Maria Bellinello, Gilberto Francisco Martha de Souza, Sara Antomarioni, Maurizio Bevilacqua, et al.
    Energies, 2021
  • A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
    Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Reliability Engineering and System Safety, 2021
  • Reliability Analysis and Asset Management of Engineering Systems
    Gilberto Francisco Martha de Souza, Adherbal Caminada Netto, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Renan Favarão da Silva
    Reliability Analysis and Asset Management of Engineering Systems, 2021
  • Mapping the literature on asset management: A bibliometric analysis
    Renan Favarao da Silva, Gilberto Francisco Martha de Souza
    Journal of Scientometric Research, 2021
  • Applying Cluster Analysis to Support Failure Management Policy Selection in Asset Management: A Hydropower Plant Case Study
    Renan Favarão da Silva, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza
    Proceedings of the 31st European Safety and Reliability Conference Esrel 2021, 2021
  • Applying Principal Component Analysis for Multi-parameter Failure Prognosis and Determination of Remaining Useful Life
    Miguel Angelo de Carvalho Michalski, Renan Favarao da Silva, Arthur Henrique de Andrade Melani, Gilberto Francisco Martha de Souza
    Proceedings Annual Reliability and Maintainability Symposium, 2021
  • Applying an Unsupervised Machine Learning Method for Defining Maintenance Significant Items
    Miguel Angelo de Carvalho Michalski, Arthur Henrique de Andrade Melani, Renan Favarão da Silva, Gilberto Francisco Martha de Souza
    Proceedings of the 31st European Safety and Reliability Conference Esrel 2021, 2021
  • A data-driven approach to extend failure analysis: A framework development and a case study on a hydroelectric power plant
    Sara Antomarioni, Marjorie Maria Bellinello, Maurizio Bevilacqua, Filippo Emanuele Ciarapica, Renan Favarão da Silva, et al.
    Energies, 2020
  • Defining maintenance significant items based on ISO 55000 and AHP: A hydropower plant case study
    Renan Favarão da Silva, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza, Silvio Ikuyo Nabeta
    Proceedings of the 29th European Safety and Reliability Conference Esrel 2019, 2020
  • Defining maintenance performance indicators for asset management based on iso 55000 and balanced scorecard: A hydropower plant case study
    30th European Safety and Reliability Conference Esrel 2020 and 15th Probabilistic Safety Assessment and Management Conference Psam 2020, 2020
  • Defining maintenance performance indicators for asset management based on ISO 55000 and balanced scorecard: A hydropower plant case study
    Renan Favarão da Silva, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza, Silvio Ikuyo Nabeta, et al.
    Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, 2020
  • Anticipatory failure determination (AFD) for product reliability analysis: A comparison between AFD and failure mode and effects analysis (FMEA) for identifying potential failure modes
    Renan Favarão da Silva, Marco Aurélio de Carvalho
    Advances in Systematic Creativity Creating and Managing Innovations, 2018

RECENT SCHOLAR PUBLICATIONS

  • Industrial Transformation Through Digital Maintenance Strategies
    GFM de Souza, RF da Silva
    Digital Maintenance and Asset Digitalization: Smart Strategies for … , 2026
    2026
  • Risk-based inspection framework for outer hull of floating units based on the integration of inspection programs
    EG Veruz, RF da Silva, GFM de Souza, FA Rodrigues
    Ocean Engineering 350, 124249 , 2026
    2026
  • Degradation Detection in Ship Hulls Underwater Inspection through Image Analysis
    JFO Faganello, EG Veruz, GFM de Souza, RF da Silva
    2026 Annual Reliability and Maintainability Symposium (RAMS), 1-6 , 2026
    2026
  • Application of Machine Learning Techniques for Battery Bank Health Prediction
    MADC Michalski, AHDA Melani, RF Da Silva, JRG de Oliveira, ...
    2026 Annual Reliability and Maintainability Symposium (RAMS), 1-6 , 2026
    2026
  • Decision-Making Approach to Support the Selection of Remotely Operated Inspection Methods of FPSO Tanks
    RF da Silva, GFM de Souza, MM Bellinello, A Caminada Netto
    International Conference on Offshore Mechanics and Arctic Engineering 88902 … , 2025
    2025
  • Evaluation of Corrosion Degradation Models Approaches for Risk-Based Inspection Planning in FPSO
    EG Veruz, RF da Silva, AJ Silva, MA de Carvalho. Michalski, ...
    ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-25-133 , 2025
    2025
    Citations: 1
  • A framework for planning underwater hull inspections based on computer vision and degradation assessment
    EG Veruz, AJ Silva, MA de Carvalho Michalski, RF da Silva, ...
    Ocean Engineering 317, 120053 , 2025
    2025
    Citations: 10
  • Cluster Analysis to Define Operational Conditions for Systems Fault Detection
    RF Da Silva, MADC Michalski, GFM De Souza
    2025 Annual Reliability and Maintainability Symposium (RAMS), 1-6 , 2025
    2025
  • Reliability Assessment of Fairleads in FPSO Units Based on Expert Elicitation
    AJ Silva, AC Netto, EG Veruz, RF da Silva, MA de Carvalho Michalski, ...
    2025
  • Underwater Inspection Planning Based on Reliability and Decision-Making Techniques: An FPSO Platform Case Study
    RF da Silva, EG Veruz, AJ Silva, MA de Carvalho Michalski, ...
    2025
  • Risk management of physical assets supported by maintenance performance indicators
    RF da Silva, AHA Melani, MAC Michalski, GFM Souza, SI Nabeta
    Sustainability 16 (14), 6132 , 2024
    2024
    Citations: 4
  • A fault detection framework based on data-driven digital shadows
    MAC Michalski, AHA Melani, RF da Silva, GFM de Souza
    ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B … , 2024
    2024
    Citations: 4
  • Discussing the applicability of the maintenance management framework for asset management (MMFAM): a hydroelectric power plant case study
    RF da Silva, GFM de Souza
    Journal of Quality in Maintenance Engineering 30 (1), 1-25 , 2024
    2024
    Citations: 3
  • Reliability and risk centered maintenance: a novel method for supporting maintenance management
    RF da Silva, AHA Melani, MAC Michalski, GFM de Souza
    Applied Sciences 13 (19), 10605 , 2023
    2023
    Citations: 57
  • Identifying changes in degradation stages for an unsupervised fault prognosis method for engineering systems
    MADC Michalski, AHA Melani, RF Silva, GFM Souza
    Proceedings , 2023
    2023
    Citations: 2
  • Identifying Changes in Degradation Stages for an Unsupervised Fault Prognosis Method for Engineering Systems
    MA de Carvalho Michalski, AH de Andrade Melani, RF da Silva, ...
    2023
  • A Framework for In-Service Life Extension of Hydroelectric Generation Assets
    AHA Melani, MAC Michalski, RF da Silva, GFM de Souza
    ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B … , 2022
    2022
    Citations: 1
  • Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines
    RF Da Silva, GFM De Souza
    Journal of Quality in Maintenance Engineering 28 (4), 915-937 , 2022
    2022
    Citations: 43
  • Exploring augmented reality applications to support maintenance management in hydroelectric power plants
    RF da Silva, GFM de Souza
    World Congress on Engineering Asset Management, 108-117 , 2022
    2022
    Citations: 3
  • Reliability analysis and asset management of engineering systems: advances in reliability science
    GFM Souza, A Caminada Netto, AHA Melani, MADC Michalski, RF Silva
    2022
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network
    AH de Andrade Melani, MA de Carvalho Michalski, RF Da Silva, ...
    Reliability Engineering & System Safety 215, 107837 , 2021
    2021
    Citations: 105
  • Reliability and risk centered maintenance: a novel method for supporting maintenance management
    RF da Silva, AHA Melani, MAC Michalski, GFM de Souza
    Applied Sciences 13 (19), 10605 , 2023
    2023
    Citations: 57
  • Modeling a maintenance management framework for asset management based on ISO 55000 series guidelines
    RF Da Silva, GFM De Souza
    Journal of Quality in Maintenance Engineering 28 (4), 915-937 , 2022
    2022
    Citations: 43
  • Mapping the literature on asset management: A bibliometric analysis
    RF Silva, GFM Souza
    Journal of Scientometric Research 10 (1), 27-36 , 2021
    2021
    Citations: 41
  • Reliability analysis and asset management of engineering systems
    GFM de Souza, AHDA Melani, MADC Michalski, RF Da Silva
    Elsevier , 2021
    2021
    Citations: 35
  • Defining Maintenance Performance Indicators for asset management based on ISO 55000 and Balanced Scorecard: A hydropower plant case study
    RF Silva, AHA Melani, MADC Michalski, GFM Souza, SI Nabeta, ...
    Proceedings , 2020
    2020
    Citations: 30
  • Asset management system (ISO 55001) and Total Productive Maintenance (TPM): a discussion of interfaces for maintenance management
    RF da Silva, GFM de Souza
    Gepros: Gestão da Produção, Operações e Sistemas 15 (2), 288 , 2020
    2020
    Citations: 27
  • Chapter 6-Engineering systems’ fault diagnosis methods
    GFM de Souza, A Caminada Netto, AH de Andrade Melani, ...
    Reliability Analysis and Asset Management of Engineering Systems, 165-187 , 2022
    2022
    Citations: 24
  • Deciding a multicriteria decision-making (MCDM) method to prioritize maintenance work orders of hydroelectric power plants
    RF da Silva, MM Bellinello, GFM de Souza, S Antomarioni, M Bevilacqua, ...
    Energies 14 (24), 8281 , 2021
    2021
    Citations: 24
  • Defining maintenance significant items based on ISO 55000 and AHP: A hydropower plant case study
    RF Silva, AHA Melani, MADC Michalski, GFM Souza, SI Nabeta
    Proceedings , 2019
    2019
    Citations: 23
  • Fault detection and diagnosis based on unsupervised machine learning methods: A kaplan turbine case study
    MAC Michalski, AHA Melani, RF da Silva, GFM de Souza, FH Hamaji
    Energies 15 (1), 80 , 2021
    2021
    Citations: 22
  • A data-driven approach to extend failure analysis: a framework development and a case study on a hydroelectric power plant
    S Antomarioni, MM Bellinello, M Bevilacqua, FE Ciarapica, RF da Silva, ...
    Energies 13 (23), 6400 , 2020
    2020
    Citations: 18
  • Anticipatory Failure Determination (AFD) for product reliability analysis: A comparison between AFD and Failure Mode and Effects Analysis (FMEA) for identifying potential …
    RF Da Silva, MA De Carvalho
    Advances in Systematic Creativity: Creating and Managing Innovations, 181-200 , 2018
    2018
    Citations: 14
  • Applying moving window principal component analysis (MWPCA) for fault detection in hydrogenerator
    MA de Carvalho Michalski, AH de Andrade Melani, RF da Silva, ...
    Proceedings of the 30th European Safety and Reliability Conference and the … , 2020
    2020
    Citations: 12
  • A framework for planning underwater hull inspections based on computer vision and degradation assessment
    EG Veruz, AJ Silva, MA de Carvalho Michalski, RF da Silva, ...
    Ocean Engineering 317, 120053 , 2025
    2025
    Citations: 10
  • Chapter 5—Engineering systems fault detection methods
    GFM de Souza, A Caminada Netto, AH de Andrade Melani, ...
    Reliability Analysis and Asset Management of Engineering Systems; de Souza … , 2022
    2022
    Citations: 7
  • Petri net-based reliability and availability analysis to support asset management: a CODOG propulsion system case study
    AH de Andrade Melani, MA de Carvalho Michalski, RF da Silva, AC Netto, ...
    IFAC-PapersOnLine 55 (19), 19-24 , 2022
    2022
    Citations: 7
  • Remaining useful life estimation based on an adaptive approach of autoregressive integrated moving average (ARIMA)
    MADC Michalski, AHA Melani, RF Silva, GFM Souza
    Proceedings , 2022
    2022
    Citations: 6
  • Failure Mode and Observability Analysis (FMOA): An FMEA-based method to support fault detection and diagnosis
    RF da Silva, AH de Andrade Melani, MA de Carvalho Michalski, ...
    Proceedings of the 32nd European Safety and Reliability Conference (ESREL … , 2022
    2022
    Citations: 5
  • Applying cluster analysis to support failure management policy selection in asset management: A hydropower plant case study
    RF Silva, AHA Melani, MADC Michalski, GFM Souza
    Proceedings , 2021
    2021
    Citations: 5