About one approach to the selection of parameters for the prognostic diagnosis of the submersible

Abstract

The actual task of the modern stage of engineering diagnostics is predictive diagnostics as a procedure for assessing the probable evolutionary states of an object. For technical forecasting, the problem of selecting prognostic parameters is very specific. The solution to this problem offers a prognostic diagnostic methodology that positions the mathematical model of the object under study as the basic basis for detecting diagnostic features. A multidimensional analysis of various approaches to the formalized description of marine engineering objects revealed a multivariance of the forms of mathematical models, which indicates the existence of a significant number of diagnosed parameters. At the same time, for the most part, the predictive value of such parameters is not justified. The purpose of the study is to demonstrate the use of the scientific method of classical mechanics to build a mathematical model of a differential type as a valid basis for selecting the parameters of predictive diagnostics of a marine infrastructure object. As a method the theorem of the movement of the center of inertia of a mechanical system is applied, the submersible design performing functions of the underwater swimming device acts as an object of a research. Technological process of immersion emersion is presented by an analytical form of the differential equations which private solutions created the equations of working process of the submersible device. Structural and logical analysis of particular solutions made it possible to substantiate the existence of a complex of primary diagnosed features as parameters of technical condition and a complex of generalized diagnostic features as temporary functions of primary parameters. The possibility of studying the dynamics of an object over time, that is, in evolution, served as the basis for classifying the complex of generalized diagnostic features as basic parameters of prognostic diagnostics.