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Condition Monitoring of Internal Combustion Engines in Thermal Power Plants Based on Control Charts and Adapted Nelson Rules

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  • Fernanda Mitchelly Vilas Boas

    (Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil
    Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Luiz Eduardo Borges-da-Silva

    (Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil)

  • Helcio Francisco Villa-Nova

    (Itajuba Federal University, Pro-Reitoria de Pesquisa e Pos-Graduacao (PRPPG), Itajuba 37500-903, MG, Brazil)

  • Erik Leandro Bonaldi

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Levy Ely Lacerda Oliveira

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Germano Lambert-Torres

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Frederico de Oliveira Assuncao

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Claudio Inacio de Almeida Costa

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Mateus Mendes Campos

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Wilson Cesar Sant’Ana

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil)

  • Josue Lacerda

    (Gnarus Institute, Itajuba 37500-052, MG, Brazil
    Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil)

  • Jose Luiz Marques da Silva Junior

    (Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil)

  • Edenio Gomes da Silva

    (Rio Amazonas Energia S.A. (RAESA), Manaus 69099-899, AM, Brazil)

Abstract

In thermal power plants, the internal combustion engines are constantly subjected to stresses, requiring a continuous monitoring system in order to check their operating conditions. However, most of the time, these monitoring systems only indicate if the monitored parameters are in nonconformity close to the occurrence of a catastrophic failure—they do not allow a predictive analysis of the operating conditions of the machine. In this paper, a statistical model, based on the statistical control process and Nelson Rules, is proposed to analyze the operational conditions of the machine based on the supervisory system data. The statistical model is validated through comparisons with entries of the plant logbook. It is demonstrated that the results obtained with the proposed statistical model match perfectly with the entries of the logbook, showing our model to be a promising tool for making decisions concerning maintenance in the plant.

Suggested Citation

  • Fernanda Mitchelly Vilas Boas & Luiz Eduardo Borges-da-Silva & Helcio Francisco Villa-Nova & Erik Leandro Bonaldi & Levy Ely Lacerda Oliveira & Germano Lambert-Torres & Frederico de Oliveira Assuncao , 2021. "Condition Monitoring of Internal Combustion Engines in Thermal Power Plants Based on Control Charts and Adapted Nelson Rules," Energies, MDPI, vol. 14(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4924-:d:612659
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    References listed on IDEAS

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    1. Camila Paes Salomon & Claudio Ferreira & Wilson Cesar Sant’Ana & Germano Lambert-Torres & Luiz Eduardo Borges da Silva & Erik Leandro Bonaldi & Levy Ely de Lacerda de Oliveira & Bruno Silva Torres, 2019. "A Study of Fault Diagnosis Based on Electrical Signature Analysis for Synchronous Generators Predictive Maintenance in Bulk Electric Systems," Energies, MDPI, vol. 12(8), pages 1-16, April.
    2. Pearre, Nathaniel & Swan, Lukas, 2020. "Reimagining renewable electricity grid management with dispatchable generation to stabilize energy storage," Energy, Elsevier, vol. 203(C).
    3. Liping Pang & Size Yi & Liqiang Duan & Wenxue Li & Yongping Yang, 2019. "Thermal Stress and Cyclic Stress Analysis of a Vertical Water-Cooled Wall at a Utility Boiler under Flexible Operation," Energies, MDPI, vol. 12(6), pages 1-18, March.
    4. Magdalena Jaremkiewicz & Jan Taler, 2020. "Online Determining Heat Transfer Coefficient for Monitoring Transient Thermal Stresses," Energies, MDPI, vol. 13(3), pages 1-13, February.
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    Cited by:

    1. Frederico de Oliveira Assuncao & Luiz Eduardo Borges-da-Silva & Helcio Francisco Villa-Nova & Erik Leandro Bonaldi & Levy Ely Lacerda Oliveira & Germano Lambert-Torres & Carlos Eduardo Teixeira & Wils, 2021. "Reduced Scale Laboratory for Training and Research in Condition-Based Maintenance Strategies for Combustion Engine Power Plants and a Novel Method for Monitoring of Inlet and Exhaust Valves," Energies, MDPI, vol. 14(19), pages 1-23, October.
    2. Filipe Quintal, 2022. "Energy Monitoring Technologies," Energies, MDPI, vol. 15(16), pages 1-2, August.

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