基于改进FCEM的工业机器人可靠性分配与预测

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

针对工业机器人在缺乏故障信息的研发初期开展可靠性分配和预测时存在的不确定性问题,基于模糊数学理论,采用考虑多影响因素的模糊综合评价法(FCEM)对工业机器人进行可靠性分配与预测。为提高FCEM的评估效率,建立了基于最优最劣法(BWM)的FCEM,以增加判断结果的一致性和减小主观错误发生的可能性。根据工业机器人的工作原理和结构组成,确定工业机器人的单元集以及影响工业机器人可靠性分配和预测的因素集。将BWM运用到FCEM的比较过程中,以确定影响工业机器人可靠性分配和预测的因素权重。通过模糊综合运算求得工业机器人各子系统可靠性分配权重和可靠性预测修正因子,以此对工业机器人进行可靠性分配和预测。

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.