Examination of Multivalent Diagnoses Developed by a Diagnostic Program with an Artificial Neural Network for Devices in the Electric Hybrid Power Supply System “House on Water”

Abstract

This article presents the problem of diagnostic examination by the (DIAG) diagnostic system of devices of the House on Water (HoW) hybrid electric power system in the multi-valued (2, 3, and 4) state assessment. Forming the basis for the functioning of the (DIAG) diagnostic system is the measurement knowledge base of the object tested. For this purpose, the issues of building a diagnostic knowledge base for a hybrid power system for HoW are presented. The basis for obtaining diagnostic information for the measurement knowledge base is a functional and diagnostic analysis of the hybrid power system tested. The result of this analysis is a functional and diagnostic model of the research object. At the next stage of the work, on the basis of the model created, the sets of basic elements and the sets of measurement signals were determined together with the reference signals assigned. State classification in the (DIAG) system is based on an analysis of the value of the divergence metrics of the signal vectors tested. The purpose of the HoW diagnostic test is to assess an increase in the diagnoses developed by the intelligent diagnostic system (DIAG 2) in 4-valued logic in relation to the assessments in 3- and 2-valued logic.

Selected Issues Associated with the Operational and Power Supply Reliability of Fire Alarm Systems

“…The implemented FAS diagnostic process should provide information on all elements operated on a regular basis within the operation process (fire detection), but also determine the technical states of e.g., redundant elements that are currently not used by the system [52][53][54]. Currently, operated FAS do not provide such diagnostic information, especially on the so-called critical unfitness, if a system experiences them [1,55,56]. The available source literature related to FAS also lacks information on predicted changes in the reliability R(t) of the entire system or individual detection circuit or loops in the event of an unfitness [1,2,57].…”

Problems of diagnosing fire alarm systems in transport facilities

“…allow precise localization of the location of an alarm in the system [1,19,20], -trigger an alarm when the parameters of the supervisory line are deviated within the limits of  30%, -self-monitor the guard lines for both current interruptions, short circuits and changes in the parameters of the guard line in the t  1 s., -signal the detected damage in a time not exceeding 20 s., -enable performance monitoring of CP, FAC, power supplies, batteries, detectors and monitoring lines and optical-acoustic sirens (all monitoring lines should be tested separately) [1,21], -have CP, FAC recording all events (ability to archive them) [22,23], -have CP that will allow the system operator to receive current information about the activation/deactivation of individual zones by users, the technical status of the equipment Figure 4 [1,24,25]. From above, the standard on the ESS operation process cited the most important issues in system supervision and the functions performed by the CP.…”

Three Technical Challenges Faced by Power Systems in Transition

“…With the continuous development of energy transformation, the proportion of fossil energy will continue to decline, and the proportion of renewable energy, especially solar energy and wind energy, will continue to increase [1,2]. In addition to the uncontrollability and volatility, solar and wind power generation based on the mainstream technology is different from fossil power generation in that it belongs to non-synchronous generator sources [3][4][5]. The uncontrollability and volatility of solar and wind power generation poses a great challenge to the power and energy balance of large-scale power grids, which requires the use of power and energy balance methods different from the traditional methods, such as energy storage, active response on the load side, etc.…”