Reducing the risk of power equipment failure when using information from information measurement system of vibration diagnosis rotating units of auxiliary engines of power plant

Abstract Sustained operation of critical infrastructure facilities is an extremely important problem. Power Stations are among these facilities. The reliability of Power Station equipment is closely linked to the effective monitoring and diagnostic systems they are equipped. Such systems are constructed in several stages. Good prioritization is an effective way to address security and risk management issues. It aims to maximize the benefits of available resources by focusing on the most important issues and thereby minimizing inherent security risks. Such decisions may be influenced by an inaccurate interpretation of the system state caused by a forced consensus of judgements on an adverse event. In practice, the process of risk management and assessment involves several technical and organizational factors, not just indicators of the severity of an adverse event. The paradigm of risk analysis in the energy sector is clearly related to the risk paradigm that exists in the development of cybersecurity systems. Such decisions may be influenced by an inaccurate interpretation of the system state caused by a forced consensus of judgements on an adverse event. The paper considers the peculiarities of constructing wireless elements of a multilevel diagnostic system for power plant auxiliary motors and the methodology for assessing the auxiliary motor resistance and their impact on the power plant operation.