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Abstract <p>To improve the versatility of modeling for recognizing the technical condition of a complex system, a solution to the problem of its statistical classification is proposed. The fact that the current condition belongs to a specific class is evaluated by confirming the hypothesis using a decision function based on the inductive behavior concept. The confirmation is made by estimating the probability of the object’s current parameters falling within a 2D parallelepiped of the joint density function determined using the kernel probability density estimation method.</p>

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Kernel Probability Density Estimation in Solving the Problem of Classification of the Technical Condition of Complex Systems

  • 期刊论文

  • 发表日期：

    2025年5月1日

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  • A. V. Zayara,
  • V. P. Fandeyev

摘要

Abstract

To improve the versatility of modeling for recognizing the technical condition of a complex system, a solution to the problem of its statistical classification is proposed. The fact that the current condition belongs to a specific class is evaluated by confirming the hypothesis using a decision function based on the inductive behavior concept. The confirmation is made by estimating the probability of the object’s current parameters falling within a 2D parallelepiped of the joint density function determined using the kernel probability density estimation method.