Abstract

The results of full-scale tests of hydro transport systems operation under real production conditions have been collected in Siberian Transport University. Statistical processing of information has been carried out while creating a database for random variables. The following parameters of hydro transport system operation have been studied: availability factor, coefficient of technical use, efficiency factor, operating time to failure, and coefficient of time use. Indices of technical (coefficient of technical use, the coefficient of readiness, the coefficient of efficiency and operating time to failure) and organizational-technological (coefficient of time use) reliability have been determined. Methodical, mathematical and software methods for estimating reliability of construction machines by the example of systems have been worked out. Using the software, the efficiency and reliability of the operation of systems, complexes, sets and individual machines at specific objects have been substantiated. This allowed the most accurate prediction of timing and cost of production at specific sites. A method for taking into account specific production conditions in a comprehensive assessment of the operation of machines, kits, complexes and systems has been proposed. The use of databases based on the results of field tests of machines made it possible to calculate more accurately the indicators of technical organizational and technological reliability of performing a given volume of work. Taking into account the probability of organizational and technological reliability makes it possible to plan the work of the system under specific operating conditions with a greater validity. It is more accurate to predict the main indicators of work production. The method, which allows taking into account the specific working conditions of the performance of works and forecasting the main indices of the reliability of a particular machine, is proposed. The proposed toolkit of indicators of technical and organizational-technological reliability of hydro transport systems for making informed management decisions has real reliability.

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