NO-CONTACT DIAGNOSTICS IN THE FUNCTION OF RISK-BASED MAINTENANCE ON A WIND GENERATOR MODEL

Abstract

When it comes to risk-based maintenance of technical systems, selecting a diagnostic procedure is the weakest link in the chain of steps that guarantee the system's availability, sustainability, and safe operation while utilizing its working characteristics.The model of a wind generator, which by virtue of its technological structure represents an increasingly widespread system in the geographical and topographical sense, was used to examine diagnostics based on non-contact, remote collection of pertinent information, which is essential for assessing the state of the technical system. In addition, the fact that the system is not physically accessible to the maintenance teams emphasizes the necessity of taking prompt action to rectify work in order to preserve production capacity and the security of the exploitation process.When applied to the wind generator model, proactive maintenance based on risk allows for enhanced interconnected machine efficiency, optimal maintenance process planning, and real-time production process control. These factors contribute to the advancement and refinement of the contemporary 4K industry philosophy.The concept of remote diagnostics in complex technological structures is of interest to the authors. The goal is to process information about the condition through the lens of risk, paying particular attention to the diagnostic method's reliability and improving prediction accuracy in the maintenance of industrial plant machinery.