INTELLIGENT ANALYSIS OF UNSTRUCTURED AVIATION MAINTENANCE DATA BASED ON DENSITY-BASED CLUSTERING AND LARGE LANGUAGE MODELS
Аbstract. Ensuring flight safety and improving the economic efficiency of aircraft maintenance require intelligent analysis of unstructured textual reports. Traditional topic modelling methods are limited by the loss of semantic context in short messages and the high labour intensity of manual text preprocessing. The subject of this study is methods for the automated extraction of […]
STATISTICAL JUSTIFICATION AND VALIDATION OF A PREDICTIVE MAINTENANCE MODEL FOR AIRCRAFT SYSTEMS: A CASE STUDY OF EXTERNAL LIGHTING EQUIPMENT
Abstract. This paper is devoted to the development and validation of a methodology for constructing a predictive maintenance model for aircraft systems based on statistical analysis of real operational data. The failure category “External Lights” was selected as the model object, as it is characterized by a high event frequency and a critical impact on […]
AN APPROACH TO AUTOMATIC RECOGNITION OF THE SPEAKER’S EMOTIONS USING INTELLIGENT METHODS OF INFORMATION ANALYSIS
Abstract. The paper presents the methodological foundations necessary to solve the problem of automatic classification of emotions by the speaker’s speech. The general principle of synthesis of the emotion classification algorithm based on machine learning methods is proposed. A model of the process of speech formation is presented, which allows using digital signal processing tools […]
APPLICATION OF POTENTIOMETRIC SENSORS FOR MEASURING LIQUID LEVEL IN STEAM BOILERS
Annotation. The goal of the this research is to analyze of currently used liquid level meters in steam boilers, determine their strengths and weaknesses, as well as search and offer new types of liquid level meters suitable for use in steam boilers.This article looks for the differences between the various types of meters such as […]