In the early 90s there was a need for the complex development of training, retraining, maintaining and professional development system designed for the most popular Mi-8 helicopter pilots oriented at modern information technologies. The system covers all the stages of pilot training, starting with the initial stages of professional activity up to its completion. The technical means compiling specifications for the whole range training were determined by the results of the pilot in-flight activity analysis. The proposed optimal range of technical facilities for training consists of technical means with different levels of out-of-cockpit and in-cockpit environment simulation. The utilization of these means allows to minimize the expenditures on proficiency level support and cost of pilot training. The set of technical training appliances such as: automated training courses of theoretical disciplines, computer functional and situational simulators, navigation simulators and flight complex simulator includes the facilities that provide training of the pilot actions at each stage of the flight. The individual schedule of computer based self-development classes is drawn up for each student. While compiling the individual schedule logical sequence of all training stages was carefully observed: firstly we begin with a thorough study of helicopter structure, then goes the study of functional system or equipment normal operation, functional system or equipment in special situations operation, and finally, the routine technology of crew operation in normal flight conditions and the crew actions in dangerous and emergency situations. In addition to the direct training of students, the initial stage of training solved the tasks of practical check and improvement of previously taken decisions.
The process of aircraft operation involves constant effects of various factors on its components leading to accidental or systematic changes in their technical condition. Markov processes are a particular case of stochastic processes, which take place during aeronautical equipment operation. The relationship of the reliability characteristics with the cost recovery of the objects allows us to apply the analytic apparatus of Markov processes for the analysis and optimization of maintainability factors. The article describes two methods of the analysis and control of object maintainability based on stationary and non-stationary Markov chains. The model of a stationary Markov chain is used for the equipment with constant in time intensity of the events. For the objects with time-varying events intensity, a non-stationary Markov chain is used. In order to reduce the number of the mathematical operations for the analysis of aeronautical engineering maintainability by using non-stationary Markov processes an algorithm for their optimization is presented. The suggested methods of the analysis by means of Markov chains allow to execute comparative assessments of expected maintenance and repair costs for one or several one-type objects taking into account their original conditions and operation time. The process of maintainability control using Markov chains includes search of the optimal strategy of maintenance and repair considering each state of an object under which maintenance costs will be minimal. The given approbation of the analysis methods and maintainability control using Markov processes for an object under control allowed to build a predictive-controlled model in which the expected costs for its maintenance and repair are calculated as well as the required number of spare parts for each specified operating time interval. The possibility of using the mathematical apparatus of Markov processes for a large number of objects with different reliability factors distribution is shown. The software implementation of the described methods as well as the usage of tabular adapted software will contribute to reducing the complexity of the calculations and improving data visualization.
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