Industrial robot failure rate prediction method

Abstract

The invention provides an industrial robot failure rate prediction method, which is used for solving the problems of inaccurate failure rate prediction and poor precision of a new industrial robot. The industrial robot failure rate prediction method comprises the steps of establishing an industrial robot subsystem reliability prediction model; collecting fault data of the source industrial robot,calculating failure rate of the source industrial robot according to the fault data, and solving a failure rate function of the source industrial robot; solving a failure rate correction factor according to the robot influence factor and the difference between the source industrial robot and the to-be-predicted industrial robot, and finally solving a failure rate function of the to-be-predicted robot. According to the method, the industrial robot prediction model with two mixed probability distribution modes is established according to the mechanical, electronic and electromechanical mixability of the industrial robot subsystem, the problem of cognitive uncertainty in an analytic hierarchy process is solved, a final prediction model is given in combination with a similarity comparison method, and the prediction precision and accuracy are improved.

Description

technical field [0001] The invention belongs to the field of robots, and in particular relates to a method for predicting the failure rate of an industrial robot, and at the same time predicts the mean time between failures and the reliability of the industrial robot. Background technique [0002] With the intelligentization of electronic technology, intelligent robots are increasingly used in life and production. Among them, in the industrial field, intelligent robots can replace humans in many dangerous jobs, and their operations have high safety, reliability and stability. However, the robot itself has a certain lifespan, and its own stability will degrade with the prolongation of the use time, and the efficiency will decrease. Therefore, in the preparation process of intelligent robots, it is generally optimized or upgraded by finding the weak links of intelligent robots to improve the service life of industrial robots, and to find the weak links of industrial robots is...

AI Technical Summary

Problems solved by technology

However, in the existing failure rate prediction, the failure probability function used by the prediction model is single, which cannot reflect the complexity of industrial robots, and cannot accurately predict its failure rate; when dealing with real-time fault data, the model lacks rationality and lacks suitable faults. During data processing, the prediction accuracy of failure rate is poor

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