Failure Rate Prediction and Reliability Assessment of RV Reducer

Abstract

Based on fuzzy mathematics thought, a methodology combining the expert evaluation and multilevel hierarchy analysis (EE-MHA) is proposed, meanwhile, the non-electronic product reliability data, NPRD) of non-key parts is used to predict the reliability of RV reducer in six-axis industrial robots. First, the proportion of every component of RV reducer in the reliability prediction was calculated via expert scoring. Then the failures rates of main parts and RV reducer are obtained by the non-key part. Based on this, the reliability assessment is investigated. This method can quantify the cognition of engineers on RV reducer under the condition of processing and production, besides, the failure rate of RV reducer can be calculated, which provide theoretical basis for requirements of spare parts for manufacturers of industrial robots who is using RV reducer.