Evaluation (classification) of power elements by areas of technical condition using the statistical recognition method and the expert method
Abstract
In accordance with the current course of maintaining the serviceability of aircraft of the Armed Forces of Ukraine, the problem arose of ensuring the serviceability of the aircraft fleet and performing an accurate classification of the technical condition of the power elements of various types of aircraft for the timely detection of their ultimate state. The purpose of the article is to publish the results of a study on the classification system of the technical condition – pattern recognition system. The article discusses the problems of choosing an effective recognition method, the main requirements for it, analyzes the selected method for classifying a technical condition (or pattern recognition of a technical condition), which is based on a statistical recognition method. The method has been implemented in a graphical shell (for use on personal electronic computers) using the python programming language and auxiliary scientific and graphic libraries. Reference objects were selected, the main defining parameters were determined that characterize the intensity of exhaustion of the resource potential, which were divided into two images of the technical condition, namely, “good” and “bad”, and the control object under study. As an example, the technical condition of the power elements of fighter aircraft of the Armed Forces of Ukraine, which have approximately the same resource life, and various statistical data on the intensity of use during operation, is analyzed. The adequacy of the method’s work with the help of experts is analyzed, recommendations are given in the form of managerial decisions on the object under study.
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