Reliability fuzzy prediction method based on hierarchical division of welding robot system

Abstract

The invention discloses a reliability fuzzy prediction method based on hierarchical division of a welding robot system. The method comprises the following steps: firstly, the appointed hierarchical division is performed for the welding robot system to determine subsystems of the robot system and modules and parts included in all the subsystems; a reliability block diagram of the robot system is built; a reliability mathematical model of the system is built; the total failure rate of the subsystems is determined and controlled; grading coefficients of all the subsystems are determined; the failure rates of other unknown subsystems are determined according to the failure rates of the known subsystems and the grading coefficients of the subsystems; and the total failure rate, namely the MTBF value of the welding robot system can be obtained according to the reliability mathematical model of the welding robot system. The method has no need to perform the reliability prediction for all parts of the welding robot system, and meanwhile, adopts the fuzzy theory and eliminates the defects in a traditional expert grading method to provide new thoughts for reliability prediction of complex electromechanical systems.

Description

technical field [0001] The invention relates to the technical field of robot safety control, in particular to a reliability fuzzy prediction method based on the hierarchical division of welding robot systems. Background technique [0002] As a key industry in many fields, the robot industry not only attracts the continuous increase of domestic manufacturers, but also the competition from foreign companies. On the one hand, industrial robots with good stability and high reliability, which can help humans undertake many dangerous tasks, are favored by more and more enterprises. On the other hand, enterprises are faced with more stringent customer requirements, making product research and development face the challenge of "more reliable", "faster" and "cheaper". In order to deal with this severe challenge, enterprises have to find an effective new idea of ​​reliability. As the requirements for products become more and more stringent, enterprises begin to realize the importanc...

AI Technical Summary

Problems solved by technology

[0004] At present, the failure rate of electronic components is relatively mature, but it is not mature for mechanical components, and its reliability level is even more difficult to predict for systems containing many self-made components.

For the welding robot system, which contains a large number of electronic components and mechanical parts, the general reliability prediction method cannot predict the reliability level of the welding robot system more accurately. Although the traditional expert scoring method can be used for Reliability prediction is made for self-made parts and component systems without reliability data, but the reliability prediction results are greatly affected by human subjective factors

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