Theory of the technological machine state recognition by the criterion of resource uncertainty

Abstract

The solution to the problems of assessing the technical condition of special equipment is presented at a multidisciplinary level, as a combination of scientific and technical, practice-oriented research. The purpose of study: development of a digital mechanism for assessing the uncertainty of the state of special equipment systems with real-time monitoring of the intensity of parameter changes, recognition and predictive notification of the probability of risk-failure. It has been established that, in accordance with the theory of probability, there can be only one failure in a unit at a time, even if several damages are diagnosed, and then there is always a single cause. The introduction of the concept of “integrated parameter” supplemented the characteristics of functional and structural multiparameter connections of the state of the unit and made it possible to substantiate the mechanism for recognizing the uncertainty of the state of special equipment systems as a whole. A diagnostic model has been built based on the use of the main provisions of information theory, which represents the unit as a system containing the risk of uncertainty in terms of failure, which is distributed over all structural elements of the unit. An algorithm for recognizing the spatial displacement of uncertainty zones is proposed, the translation of which into a digital format with the introduction of a characteristic criterion will provide a search for a defect (risk-failure). The practical implementation of the risk-failure recognition mechanism is carried out on a simulation model of a change in the state of a technical system using the example of a cardan joint of a technological machine, which is under severe operating conditions during reclamation work. The inclusion in the design of technological machines of a digital module for monitoring the technical condition of the unit is substantiated, including: a module for recognizing the elemental structure; a software shell with a calculation algorithm for evaluating parametric changes; module of interface predictive notification of risk-failure; service control module by state.