Mechanical Reliability Analysis and Optimization Design Method Based on Evidence Theory

The analysis and design of mechanical structures and systems has a long and in-depth research history, and has achieved fruitful results. In fact, in the traditional analysis and design of mechanical structures and systems, people have found that there are a lot of uncertainties in the disciplines of system science, transportation science, and management science. It is difficult for traditional deterministic design methods to effectively deal with this type of problems. Uncertainty issues, such as the uncertainty of the shape and size of the structure due to the influence of processing technology, processing equipment, environmental factors and human factors in the manufacturing process, these inaccurate and uncertain information mainly come from the processing technology, Processing equipment, environmental factors, and man-made factors, and evidence theory can effectively model the problem of cognitive uncertainty in engineering, using probability intervals composed of credibility and likelihood to describe the cognitive uncertainty brought about by Impact. This article introduces the basic concepts of evidence theory and the basic process of reliability analysis of conventional evidence theory, and optimizes it to a certain extent. Then, this paper uses the optimization method and conventional methods of this paper to deal with a practical engineering problem, and compares the results. The final research results show that the optimization method in this paper is more effective than conventional methods, and it is concluded that the theory of evidence is indeed applicable to mechanical engineering, and it can effectively analyze the reliability of machinery.