Abstract
Ensuring the reliability and safety of technical systems is a milestone in their development and mass production. Reliability testing of technical systems is performed in special laboratories and centers. Today, there is a great deal of experience in simulating operating conditions of technical systems in order to predict and increase their reliability. This paper discusses the identification of functional technological processes in the existing test centers for technical systems in order to develop their architectural and space-planning design. The test processes for technical systems have been classified. The analysis of the existing test centers for technical systems and the test procedures made it possible to identify the main infrastructure elements, as well as their equipment, which was necessary for laying down the principles of architectural and space-planning design of such centers as a separate design object.
Highlights
Reliability tests are an important part of testing new machines
Testing has a special place in the whole «life cycle» of technical systems, which includes designing, refining, mass production, operation, and repair
Experts estimate that more than 60% of equipment failures are related to the impact of climatic factors only [2, 3]
Summary
Reliability tests are an important part of testing new machines. Testing has a special place in the whole «life cycle» of technical systems (aviation and engineering products, building structures, etc.), which includes designing, refining, mass production, operation, and repair. According to GOST (Russian Standard) 16504, test is an experimental determination of quantitative and/or qualitative characteristics of a test object as a result of it being exposed to mechanical and climatic factors during its operation. Long-term exposure of materials to operational factors results in their degradation and loss of performance. According to the data from [2], the annual worldwide losses due to ageing and failure of materials are estimated at 2.2 trillion US dollars and reach 3% of GDP for such countries as the USA, Great Britain, Germany. Reliable prediction tools would have helped to avoid most of those losses in different industries
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