An Approach for Intelligent Evaluation of the State of Complex Autonomous Objects Based on the Wavelet Analysis

Abstract

Increasing requirements for the quality of functioning of complex autonomous technical objects (bodynets, robotic complexes, unmanned cars and aerial vehicles, etc.), as well as their security and reliability, made the problem of assessing their state particularly relevant given the impact of various types of attacks and destabilizing factors, aging and technological dispersion of parameters. The paper proposes a new approach to intelligent evaluation of the state of such objects. The approach is based on interval assessment of parameters, use of a knowledge base about critical and state conditions, and application of wavelet analysis. The architecture and realization of an intelligent system for evaluation of the state of complex autonomous technical objects is considered. The carried-out experimental assessment of the offered approach showed that use of wavelet analysis when forming areas of objects' operability allows one to make accurate differentiation of classes of their technical states that increases the accuracy and reliability of state identification and also to expand possibilities of technical means of control and diagnostics.