Application of Improved Fuzzy Comprehensive Evaluation Method in Reliability Allocation and Prediction of Industrial Robots

In order to solve the problem of uncertainty in reliability allocation and prediction of industrial robots at the early stage of development in the absence of fault information, a fuzzy comprehensive evaluation method (FCEM) considering multiple influencing factors is proposed for reliability allocation and prediction of industrial robots on the basis of fuzzy mathematical theory. In order to improve the computational efficiency of the FCEM, the best worst method (BWM) is introduced to increase the consistency of the judgment results and reduce the possibility of subjective errors. First, the unit set of the industrial robot and the set of factors affecting its reliability allocation and prediction are determined according to its working principle and structural composition. Then, the BWM is applied to the comparison process of the fuzzy comprehensive evaluation method to determine the weights of factors affecting the reliability allocation and prediction of industrial robots. Finally, the reliability allocation weights and reliability prediction correction factors for each subsystem of the industrial robot are obtained by fuzzy comprehensive operation to allocate and predict its reliability.