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”

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