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Gill, J. and Singh, J. (2017) Adaptive Neuro-Fuzzy Inference System Approach to Predict the Mass Flow Rate of R-134a/LPG Refrigerant for Straight and Helical Coiled Adiabatic Capillary Tubes in the Vapor Compression Refrigeration System. International Journal of Refrigeration, 78, 166-175.
https://doi.org/10.1016/j.ijrefrig.2017.02.004

has been cited by the following article:

• TITLE: Uncertainty Estimation of Refrigeration Equipment Using the Information Approach

  AUTHORS: Boris Menin

  KEYWORDS: Information Theory, Refrigeration Equipment, Technical Feasibility, Uncertainty, Ice Slurry, Energy Storage

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.8 No.1, December 30, 2019

  ABSTRACT: Aims: The purpose of this work is to present the information approach as the only effective tool that allows us to calculate the uncertainty of any result of the study on the use of refrigeration equipment. Methodology: Using the definitions and formulas of information theory and similarity theory, the amount of information contained in a model of refrigeration equipment or process is calculated. This allows us to present formulas for calculating the relative and comparative uncertainties of the model without additional assumptions. Based on these formulas, the value of the inevitable threshold of the accuracy of the representation of the studied construction or process is determined. Results: Theoretically substantiated recommendations are formulated for choosing the most effective methods for analyzing refrigeration equipment are formulated. Conclusion: Having calculated the amount of information contained in the model, we presented practical methods for analyzing data on refrigeration equipment.