Formation of descriptive diagnostic requests for technical diagnostics of electronic equipment
Restoration of the serviceable state of complex technical systems is associated with technical diagnostics, the purpose of which is to determine the locations and causes of the malfunction. Improving the efficiency of diagnostics can be achieved through the use of automated information support tools that provide maintenance personnel with the required diagnostic information based on the generated request. The use of language query tools in systems of this type allows service personnel to formulate query conditions more precisely and specifically, but such tools require the development of additional models for interpreting conditions presented in natural language constructs. The purpose of the work is to develop a formal model that reflects the structure and rules for the formation of language queries in which diagnostic features are determined. The goal is achieved by consistently describing the procedures that determine the lexical, syntactic and semantic rules for analyzing language requests of service personnel to an automated information support system. The given sequence of language analysis procedures provides for the selection in the language requests of the service personnel of a formal set of diagnostic features that are used to form a formal request to an information source of information about faults in electronic equipment. It is shown that the machine parsing of such queries, which are called descriptive diagnostic queries in this work, is expedient to be performed by identifying the correspondence of language constructions to a set of formal rules determined by the grammar of a natural-like language. The studies carried out confirm the possibility and create conditions for the inclusion of inquiry response means into automated information support systems for technical diagnostics and repair, which ensure the formation of probable places and causes of faults in radio electronic equipment at the request of the service personnel, made in the designs of the natural (Russian) language. The introduction of such a mechanism into automated systems will reduce the number of non productive losses that are not directly related to diagnostics, which will have a positive effect on the time indicators of the restoration of complex technical complexes.