Estimate the useful life for a heating, ventilation, and air conditioning system on a high-speed train using failure models

Authors

  • Marcantonio Catelani University of Florence, Department of information engineering
  • Lorenzo Ciani University of Florence, Department of information engineering
  • Giulia Guidi University of Florence, Department of information engineering http://orcid.org/0000-0002-7622-3396
  • Gabriele Patrizi University of Florence, Department of information engineering http://orcid.org/0000-0001-6661-6754
  • Diego Galar LuleĆ„ University of Technology

DOI:

https://doi.org/10.21014/acta_imeko.v10i3.1058

Abstract

Heating, ventilation, and air conditioning (HVAC) is a widely used system used to guarantee an acceptable level of occupancy comfort, to maintain good indoor air quality, and to minimize system costs and energy requirements. If failure data coming from company database are not available, then a reliability prediction based on failure rate model and handbook data must be carried out. Performing a reliability prediction provides an awareness of potential equipment degradation during the equipment life cycle. Otherwise, if field data regarding the component failures are available, then classical reliability assessment techniques such as Fault Tree Analysis and Reliability Block Diagram should be carried out. Reliability prediction of mechanical components is a challenging task that must be carefully assessed during the design of a system. For these reasons, this paper deals with the reliability assessment of an HVAC using both failure rate model for mechanical components and field data. The reliability obtained using the field data is compared to the one achieved using the failure rate models in order to assess a model which includes all the mechanical parts. The study highlights how it is fundamental to analyze the reliability of complex system integrating both field data and mathematical model.

Author Biography

Giulia Guidi, University of Florence, Department of information engineering

Department of information engineering

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Published

2021-09-30

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Section

Research Papers