Authors

A.O. NEDOSEKIN, D.P. MAKARENKO, V.V. GRAPES

Abstract

Purpose: The task is to analyze the functional survivability of the combined refrigeration supply system (CSC), which functions under adverse external influences (NV), which has a reserve of time and other types of reserves, to propose new survivability indicators and their standards. For evaluation, a fuzzy-plural model is used. Methods: Considered by KSHS, carrying out both the release of cold for industrial purposes, and the reservation of the source of cold (artificial ice). In the event of a disruption in the power supply of the secondary cooling system from the external power supply network and multiple failures of refrigeration machines due to large-scale NV reasons, the cooling system will be released through the process of transferring the cold from the frozen ice system to the refrigerant, with partial energy recharge of own needs from autonomous energy sources. The article proposes a survivability model of KSHS taking into account the time reserve existing in it, based on fuzzy descriptions. Also, the KSH resistance model, based on the hybridization of probabilistic axiological and fuzzy descriptions, is considered. Results: A new definition of the functional survivability of the CFS was introduced. Fuzzy estimates of the survivability of the system are obtained, under the assumption of two main HB scenarios - “lightweight” and “heavy”. A “soft” comparison of three fuzzy parameters is carried out: the expected reserve of time td, the expected recovery time tv and the expected time to maintain the minimum level of functioning of the object tzh. Conclusions: The combination of probabilistic and fuzzy-probabilistic approaches to the analysis of the functional survivability of energy systems of a wide class, with a reserve of time to resume normal functioning, gives excellent results that are unattainable in the framework of classical scenario or probabilistic models of survivability of technical systems.

Keywords

combined refrigeration system (CSCS), survivability, survivability means (coolant), fuzzy numbers, soft calculations, information survivability function, durability function