Використання штучних нейронних мереж для діагностування технічного стану електротехнічних комплексів розподілених систем водопостачання

Abstract

Maintaining water supply systems in proper technical condition and timely addressing issues is crucial for ensuring safety, reliability, and water quality, optimizing resource utilization, and achieving economic benefits. Therefore, the development of new methods and tools for diagnosing the technical condition of electrical engineering complexes in distributed water supply systems is a promising direction. The article discusses the use of artificial neural networks for diagnosing the technical condition of electrical engineering complexes in distributed water supply systems.