Force-measuring equipment is widely used in all sectors of the economy, primarily in industry. Force measurement is used to determine loads affecting operation capability of various types of equipment and their components to ensure safe operation as well as during tests and research of the systems and mechanisms. The most effective are devices consisting of an elastic element and a transducer of its deformation into an electric signal. An analysis of known force-measuring devices shows that at a large range of loads the most effective form of the elastic element is the ring. As electric transducers of deformation in similar gauges, capacity, inductive, vibrating-wire and strain gauges are used. The disadvantages of existing devices are slow response, suitability for a narrow range of loads, low contact reliability, non-linearity. There are significant prospects of the circular type sensors development with optoelectronic signal transducers, which allows increasing significantly the efficiency, reliability and accuracy of force measurement. The compensation principle is supposed to be used in the dynamometric gauges where as a control input variable, a value of an elastic element deformation is used. The control algorithm of a compensation scheme of undesirable discrepancies of a control variable is made so that to reduce a deformation value to naught. Due to this fact, operation of a dynamometric gauge based on the principle of force compensation is carried out with a lot of accuracy. The construction of the gauge contains a sensing zerobody, an amplifier, feedback and a measuring device.

The purpose of the article is to create a database of errors and to develop an algorithm for a situational decision-making model taking into account availability of potential errors of air traffic controllers and pilots. Air traffic controllers and pilots typical errors were compiled and analyzed, arrays of specialists errors were created, binary error relations based on methods of discrete mathematics were also compiled in this article. This decision is caused by the need to formalize the interaction of specialists, since each error of the air traffic controller can be compared with a certain set of pilot errors and vice versa. In case of further in-depth analysis, it is possible to expand the database by adding additional errors arrays of the adjacent point controller, aerodrome service, planning service, etc. The goal is formed after analyzing the features of simulator training in higher educational institutions. The peculiarity is the absence of hazardous factors during the simulator training. This training takes place according to the ideal model. Undoubtedly, this approach is aimed at developing the correct algorithm of actions in normal or abnormal flight conditions, but thus the trainee can’t work out the decision-making skills if there is an error in the ideal algorithm. At the same time, existing specialists face unintended errors every working day, so having experience in this field plays an important role in minimizing the impact of the human factor on flight safety. In our case, it is proposed to include such a dangerous factor as an unintentional error in the joint training program for air traffic controllers and pilots, which will improve the training quality of specialists.

The purpose of the article is to conduct a statistical data analysis obtained after the experimental study. The experimental research deals with rating the trainees’ level of proficiency before and after the proposed method of the ATC and pilot joint training (retraining). It’s common knowledge that progress in aviation has moved far forward. The fourth, fifth and sixth-generation aircraft have come into existence. Aircraft and automated systems have become digital. In order to develop and implement ATM systems, ICAO has identified three fundamental concepts that will allow us to enhance human reliability in the future. One of the concepts is human-oriented automation. Automation involves the transition from the analog onboard and ground systems to digital ones. As a result, the onboard and ground systems, after modernization, will receive the fifth and sixth-generation abbreviation. Subsequently, a new approach will be required to train (retrain) air traffic controllers and pilots to operate these systems. To solve this problem, it is necessary to change the concept of training flight and traffic control personnel. The article provides an evaluation of the proposed new technique for the joint training (retraining) of ATC and pilots by conducting a statistical analysis of experimental data. The proposed training method will enable us to improve the quality of training, reduce a number of pilot and ATC errors, which are the underlying principles of the ICAO concept. The article presents the statistical analysis of data based on the Student t-criterion and the law of random variables distribution, which will make it possible to draw a conclusion about the effectiveness of the proposed method for training specialists.