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Prospects for the Application of Wavelet Analysis to the Results of Thermal Conductivity Express Control of Thermal Insulation Materials

Author

Listed:
  • Oleksandra Hotra

    (Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka Str. 38D, 20-618 Lublin, Poland)

  • Svitlana Kovtun

    (Monitoring and Optimization of Thermal Processes Department, Institute of Engineering Thermophysics of NAS of Ukraine, M. Kapnist Str. 2a, 03057 Kyiv, Ukraine)

  • Oleg Dekusha

    (Monitoring and Optimization of Thermal Processes Department, Institute of Engineering Thermophysics of NAS of Ukraine, M. Kapnist Str. 2a, 03057 Kyiv, Ukraine)

  • Żaklin Grądz

    (Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka Str. 38D, 20-618 Lublin, Poland)

Abstract

This article discusses an express control method that allows in situ measurements of the thermal conductivity of insulation materials. Three samples of the most common thermal insulation materials, such as polyurethane, extruded polystyrene, and expanded polystyrene, were studied. Additionally, optical and organic glasses were investigated as materials with a stable value of thermal conductivity. For the measurement of thermal conductivity, the express control device, which implements the differential method of local heat influence, was used. The case studies were focused on the reduction of fluctuations of the measured signals caused by different influencing factors using wavelet transform. The application of wavelet transform for data processing decreased the thermal conductivity measurement’s relative error for organic glass SOL and optical glasses TF-1 and LK-5. The application of wavelet transform thermal conductivity measurement data for polyurethane, extruded polystyrene, and expanded polystyrene allowed to reduce twice the duration of express control while maintaining the same level of measurement error. The results of the investigation could be used to increase the accuracy in express control of the thermal conductivity of insulation materials by improving the data processing. This approach could be implemented in software and does not require a change in the design of the measuring equipment or the use of additional tools.

Suggested Citation

  • Oleksandra Hotra & Svitlana Kovtun & Oleg Dekusha & Żaklin Grądz, 2021. "Prospects for the Application of Wavelet Analysis to the Results of Thermal Conductivity Express Control of Thermal Insulation Materials," Energies, MDPI, vol. 14(17), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5223-:d:620465
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    References listed on IDEAS

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    1. Anstett-Collin, F. & Goffart, J. & Mara, T. & Denis-Vidal, L., 2015. "Sensitivity analysis of complex models: Coping with dynamic and static inputs," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 268-275.
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    Cited by:

    1. Tetiana Bilan & Mykola Kaplin & Vitaliy Makarov & Mykola Perov & Ihor Novitskii & Artur Zaporozhets & Valerii Havrysh & Vitalii Nitsenko, 2022. "The Balance and Optimization Model of Coal Supply in the Flow Representation of Domestic Production and Imports: The Ukrainian Case Study," Energies, MDPI, vol. 15(21), pages 1-19, October.
    2. Oleksandra Hotra & Svitlana Kovtun & Oleg Dekusha & Żaklin Grądz & Vitalii Babak & Joanna Styczeń, 2022. "Analysis of Low-Density Heat Flux Data by the Wavelet Method," Energies, MDPI, vol. 16(1), pages 1-16, December.

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