Assessment of the Economic Efficiency of Training Complex System Operators

The possible ways of economic evaluation of the effectiveness of training operators to manage complex technical systems are analyzed. The variants of evaluation are considered, taking into account the achievement of a given level of reliability when performing management tasks, the professional suitability of operators for this type of activity based on their individual characteristics and the characteristics of the tasks being solved.

System risk assessment based on the probabilistic model “exposure-susceptibility” at the enterprises of storage and processing of vegetable agricultural products

At present, elements of probabilistic safety and risk assessment have been introduced into the design and analysis of complex technical systems, one of the main disadvantages of which is the difficulty due to the selection of initial data in the form of probabilities of initiating events. As a consequence, the use of known methodologies for quantifying risk can lead to either underestimation of threats or unreasonably high security costs. On the example of an enterprise for the storage and processing of vegetable agricultural products, an approach was considered for assessing the risk of a technical system based on the probabilistic model “exposure-susceptibility”.

Computational methods based on fuzzy control algorithms for operational control and identification of control systems in smart production

The problem of the functioning of complex technical systems is studied in this article. The authors consider the problem of structural and functional redundancy (the complexity of formalizing computational methods for dynamic and nonlinear systems used in modern industrial production). On the example of considering the structure of the climate control subsystem for a closed loop of an industrial unit, a fuzzy configurator model for controlling the operation of a refrigerator is formalized. It is reduced to: linearization of the reading of instantaneous temperatures from various loops of the considered control system, followed by fuzzification and antecedent analysis. Eventually this allows to implement a complex method of fuzzy control and calculation of structural redundancy in any configuration with a different probability ratio. The authors also raise the question of the comparability of the obtained data and application of the developed method as a tool for predictive analytics in technological processes of production management.

Development of mobile aircraft control system model with additive technologies

The article describes the parameter evaluation of mobile spacecraft control systems and identifies their main advantages in comparison with stationary assets. The model and the mobile spacecraft control system mock-up using additive technologies were developed with existing methods for prototyping complex technical systems. This model performs experimental operations of the prototype of the mobile control system, accompanies the spacecraft in the area of its radio visibility, simulates the implementation of technological cycles of spacecraft control, evaluates the parameters of the target equipment, analyzes the characteristics of the antenna system and the layout, conducts experiments and eliminates abnormal situations. It also optimizes the spacecraft testing based on the use of artificial intelligence techniques.

Methodological provisions for assessing scientific and technical risk and financial losses during development works to create complex technical systems

Subject. The article addresses scientific and technical risk and financial losses of the customer in the process of research and development works on the creation of complex technical systems. Objectives. The study aims at constructing and analyzing the dependence of scientific and technical risk and financial losses of the customer on the planned volume of development works and the financial resources invested in them. Methods. We apply methods of probability theory and mathematical statistics, system and regression analysis, risk assessment and management. The paper rests on data on completed development projects for complex technical systems creation. Results. We formulated methodological provisions for assessing scientific and technical risk, arising in the process of development works on complex technical systems. The paper presents an algorithm for calculating the expected financial losses from works implementation. The problem of minimizing financial losses associated with scientific and technical risk is formulated and formalized. The feasibility of proposed provisions and recommendations is confirmed by a practical example. Conclusions. To assess risks, it is important to consider the impact of the degree of difference between the main characteristics of developed product and its prototype on the required amount of works at development stage. This enables to build regression dependencies of the volume of works at the development stage on a specified factor, which are later used to assess the scientific and technical risk and associated financial losses.

COMPLEX CLASSIFIERS OF FORMAL CLASSIFICATION THEORY OF TECHNICAL SYSTEMS: HIERARCHO-MATRIX, ZONE, CYCLIC

The article highlights the different aspects of complex technical systems that can be ordered and classified in accordance with the totality, structure and values of the attributes characterizing these systems by a unified approach to various types of classifications. The most complex classifiers studied in this work are hierarchical-matrix, cyclic and zonal classifiers. Zones are the areas identified in the space of classification attributes that characterized by a similar value of an additional target classification attribute. The dimension of the zonal classification is equal to the number of descriptive classification attributes, the zonal dimension is equal to the number of zones. Adding the zones is carried out according to the target classification criterion, multiplying the zones consists in introducing the new descriptive classification attributes. Cyclicity is repetition of the similar elements that occurs in the space of physical quantities or other parameters. The concept of cycle stages is defined for all cycles, which is a specific (target) classification attribute. The internal dimension of the cycle is equal to the number of stages, the external dimension is equal to the number of acts of the cycle, the descriptive dimension is equal to the number of descriptive classification attributes. Addition of cycles can be carried out both by stages and by descriptive features and consists in increasing the number of values of classification attribute. Multiplication of cycles consists in the introduction of new descriptive classification attributes. Zonal and cyclic classifiers are widely used in the practice of describing and planning technical energy systems. A wide range of classifiers ordered from the standpoint of a unified formal theory of classification will take into account the features of specific technical systems, the conditions for the objects functioning, the context of the interpretation area. As a re-sult, the degree of adequacy of classifiers to the diversity of the interpretation area objects and the representativeness of models based on classifiers will increase

A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions

While increasing digitalization enables multiple advantages for a reliable operation of technical systems, a remaining challenge in the context of condition monitoring is seen in suitable consideration of uncertainties affecting the monitored system. Therefore, a suitable prognostic approach to predict the remaining useful lifetime of complex technical systems is required. To handle different kinds of uncertainties, a novel Multi-Model-Particle Filtering-based prognostic approach is developed and evaluated by the use case of rubber-metal-elements. These elements are maintained preventively due to the strong influence of uncertainties on their behavior. In this paper, two measurement quantities are compared concerning their ability to establish a prediction of the remaining useful lifetime of the monitored elements and the influence of present uncertainties. Based on three performance indices, the results are evaluated. A comparison with predictions of a classical Particle Filter underlines the superiority of the developed Multi-Model-Particle Filter. Finally, the value of the developed method for enabling condition monitoring of technical systems related to uncertainties is given exemplary by a comparison between the preventive and the predictive maintenance strategy for the use case.

Study of the influence of environmental factors on the optical parameters of transparent thermoplasts

The use of transparent thermoplastics as construction materials imposes special requirements on them, both in terms of strength characteristics and physical properties. The stability of these properties plays an important role in the use of transparent thermoplastics in complex technical systems, where these materials are used as a structural material for the outer contour of the product, which is exposed to aggressive climatic factors. In this work, the influence of atmospheric factors in the warm humid climate zone (the coastal atmosphere of humid subtropics) on the optical properties of transparent thermoplastics was investigated, which made it possible to obtain important information for assessing the performance of polymers of this class in natural climatic conditions.