Reliability assessment of radio-electronic equipment by vibration resistance parameters

Reliability indicators of radio-electronic equipment (probability of failure-free operation, mean time to failure, failure rate, and availability factor) are traditionally determined based on test results or statistical analysis of operational data. However, under current conditions of extensive use of foreign-manufactured technical systems, for which complete technical documentation and sufficient a priori information are often unavailable, reliability assessment using conventional methods becomes significantly complicated. To address this issue, an indirect approach to reliability assessment is proposed, based on the analysis of engineering characteristics of weapon and military equipment samples, including vibration resistance, structural and parametric redundancy, durability of the component base, and related parameters. Considering that for mobile radio-electronic equipment installed on moving platforms, mechanical vibration loads constitute one of the dominant factors affecting degradation of structural elements and interconnections, particular attention in this study is given to reliability assessment through vibration resistance analysis of the monitored objects. Physical and mathematical models of three-mass hierarchical structures of radio-electronic equipment mounted on mobile platforms are proposed. Based on these models, characteristic equations for determining the natural frequencies of complex technical systems are derived, enabling prediction of resonance conditions and assessment of their potential impact on operational reliability. Special attention is paid to the analysis of Ukrainian national standards and international standards related to reliability assessment of radio-electronic equipment. The relevance of this study is determined by the need to integrat a significant number of foreign-manufactured weapon and military equipment samples into the existing technical support system of the Armed Forces of Ukraine and other components of the security and defense sector, while formalized methods for reliability assessment of such systems under limited input data conditions remain absent. The practical significance of the obtained results lies in the possibility of their application for supporting decisionmaking in maintenance planning, repair organization, and service life prediction of foreign-manufactured weapon and military equipment.