Multi-level electromechanical system reliability prediction method based on fuzzy judgment

Abstract

The invention discloses a multi-level electromechanical system reliability prediction method based on fuzzy judgment. The method is used for performing layered structured processing on an electromechanical system, establishing a multi-level reliability model containing weighting coefficients and performing multilevel unit weighting coefficient calculation and reliability prediction on the electromechanical system sequentially. The multi-level electromechanical system reliability prediction method comprises steps as follows: layered structured processing on the electromechanical system; calculation of a risk priority number of a bottom unit and establishment of a binary comparison matrix; establishment of a fuzzy judgment matrix of the bottom unit and calculation of unit weighting coefficients; establishment of a father unit reliability model; reliability prediction of a function module; reliability prediction of a subsystem; reliability prediction of a system. By means of the method, the defect that the importance of each system unit cannot be treated differently with an existing electromechanical system reliability prediction method can be overcome. The electromechanical system reliability prediction method can be widely used for the field of reliability engineering of mechanical and electrical equipment and is particularly suitable for reliability optimization and refined design and analysis occasions of a complicated system.

Description

technical field [0001] The invention relates to a method for predicting multi-level reliability of electromechanical systems in the technical field of reliability engineering of electromechanical systems, in particular to a method for predicting multi-level reliability of electromechanical systems based on fuzzy judgment. Background technique [0002] Reliability has become a common problem in complex electromechanical systems, and its indicators are regarded as important quality attributes, which have the same important status as technical and economic indicators such as system performance, cost, and effectiveness. With the development of reliability engineering, the idea that "product reliability is designed, produced and managed" is more and more understood and accepted by designers and managers. According to statistics, 80% of product reliability problems come from the product design stage, and the level of research and development directly affects product reliability in...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiency of the existing electromechanical system reliability prediction method - the importance of each system unit cannot be treated differently, and provide a multi-level reliability prediction method for electromechanical systems based on fuzzy judgment. The present invention can be widely used It is used in the field of mechanical and electrical equipment reliability engineering, especially suitable for complex system reliability optimization and refined design analysis occasions

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