Information and measuring systems for equipment adaptive accelerated life tests

Abstract

The article is devoted to the formulation of the problem of improving methods for accelerated life tests of industrial equipment, as well as the problem of developing information and measurement systems for obtaining statistically significant measurement data during life tests. The service life of equipment can be determined through controlled operation. The difficulties of implementing such a method are shown. Using the method of accelerated life tests, the problem of reducing test time is solved, but the problem arises of determining a mathematical model for changing parameters to predict the life. The problems associated with the complexity of predicting equipment life using data from accelerated life tests are shown; problems with defining mathematical models for predicting the service life of various equipment elements, as well as equipment in general. Purpose, examples of mathematical models for resource assessment are given for such elements as bearings, blades of automotive turbochargers, seals and o-rings. It is shown that the wear of such equipment elements can be described by various mathematical models that take into account both the specific properties of the structure and the peculiarities of their operating conditions. It is indicated that as accelerated life tests are carried out, the mathematical forecast model can be refined and that in order to make a decision to change the model, the change in the controlled parameter must be statistically significant. The complexity of choosing a model that describes the equipment life is associated with the need to control a large number of parameters, carry out statistical processing of measurement results, control the impact on the test object and analyze the results of such impact. It is indicated that the listed set of actions is possible using information and measuring systems specially developed for these purposes.