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Abstract <p>The paper describes the extension of the author’s approach to building prototypes of declarative knowledge bases of classical expert systems based on model transformations through the use of state transition diagrams and decision tables. These methods describe in the form of logical rules the information about relationships between the external signs of malfunctions and the causes, as well as between troubleshooting operations. The approach has been tested during the adaptation of the <i>AviaTekhPom.Terminal</i> application for the <i>Cessna</i> 182T air conditioning system and <i>Sukhoi Superjet</i> 100 (RRJ-95) power supply, control, and air conditioning systems. The estimation of results showed the expediency of using the described approach for modeling the branching scenarios of operations, verifying decision tables, and technical manuals.</p>

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An Approach to Building Knowledge Bases for Aviation Diagnostics Tasks

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • N. O. Dorodnykh,
  • O. A. Nikolaichuk,
  • Yu. V. Kotlov,
  • A. Yu. Yurin

摘要

Abstract

The paper describes the extension of the author’s approach to building prototypes of declarative knowledge bases of classical expert systems based on model transformations through the use of state transition diagrams and decision tables. These methods describe in the form of logical rules the information about relationships between the external signs of malfunctions and the causes, as well as between troubleshooting operations. The approach has been tested during the adaptation of the AviaTekhPom.Terminal application for the Cessna 182T air conditioning system and Sukhoi Superjet 100 (RRJ-95) power supply, control, and air conditioning systems. The estimation of results showed the expediency of using the described approach for modeling the branching scenarios of operations, verifying decision tables, and technical manuals.