Software for Reliability Testing of Thermomechanical Installations




Abstract:
The aim of this paper is to present the application of Auto Desk software: Revit on Heating, Ventilation and Air condition building installation systems. Determining the reliability of a number of components that are installed also plays an important role in the design of such systems. In this context, the authors developed software for determining the probability of rendering system components using probability theory. An overview of the application of this software as well as the Revit program is given in the paper. The software package was applied to establish the failure of individual components of the thermo technical installation in a larger complex of buildings. Characteristic of this analysis is that the probability of failure of each component weighs zero, while the number of components weighs infinity. The software package was developed for various probability analyzes that are accessed through several different probability distributions. This analysis can be applied to different industries. The need for failure analysis in thermo technical has arisen within the theory of system reliability and is useful for companies engaged in the maintenance of thermo technical installations and fire protection systems of larger residential and business complexes. The paper presents the specifics of the installation on the one hand, as well as the software package that was applied to solve specific tasks, where the Poisson probability distribution is established as appropriate.

CITATION:

IEEE format

M. Marković, A. Đurđević, “Software for Reliability Testing of Thermomechanical Installations,” in Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2022, pp. 89-95. doi:10.15308/Sinteza-2022-89-95

APA format

Marković, M., Đurđević, A. (2022). Software for Reliability Testing of Thermomechanical Installations. Paper presented at Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2022-89-95

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