Research On Reliability Modeling Technology Of Industrial Robot Based On Analytic Hierarchy Process

With the introduction of Industry 4.0,the concept of intelligence and efficiency has been widely concerned and recognized by countries around the world.Industrial robots,as one of the main manifestations of intelligent and efficient complex electromechanical products,play an increasingly important role in social production activities.In order to ensure the stable,safe and efficient work of industrial robots,improving their reliability is the key.Prior to this,the reliability level of industrial robots should be reasonably evaluated.There are two general reliability evaluation methods: one is the evaluation method based on the combination of large sample statistical data and mathematical analysis;the other is the method through sampling simulation.Usually these two conventional reliability evaluation methods can better evaluate the reliability of products,but they can not deal with the fuzzy problem of qualitative description.The analytic hierarchy process can solve this problem very well.It can quantify the qualitative description.In order to analyze it qualitatively and quantitatively,this paper uses analytic hierarchy process to carry out reliability modeling and analysis of industrial robots.The main work is as follows:(1)Systematic research AHP's concept,thinking method and implementation steps,analyze its practical feasibility for industrial robot reliability assessment;study its improvement methods and reliability modeling methods that can be well combined with it.(2)Collect the reliability data of industrial robots and organize the data by statistical methods,determine the type of data distribution by the histogram method of the data,then estimate the parameters by the parameter estimation method,and finally verify the distribution function by regression test method and fitting optimization method Rationality to evaluate the reliability of industrial robots.(3)Analyze the system structure,functions and working principles of industrial robots,divide the industrial robots into four subsystems according to their different functional structures,and analyze the failure modes,effects and hazards of the main parts and components that make up the industrial robot system(FMECA),gives the FMECA table of the main parts and components of industrial robots.From the perspective of system reliability,analyzes and studies whether the industrial robot system is a series system or a parallel system or other forms from the perspective of system reliability.Based on this,the reliability block diagram of the industrial robot system is drawn.(4)Firstly,use AHP to quantify the importance of each component unit that affects the reliability of the industrial robot system,mainly use expert scoring to evaluate and score each unit,and obtain the reflection of the impact of each unit on the system reliability To find the weak unit of the industrial robot system and provide a basis for its maintenance sequence.Secondly,the fuzzy theory is introduced to improve the analytic hierarchy process,and the importance of each unit under the consideration of multiple factors is evaluated.Finally,the analytic hierarchy process and reliability block diagram are combined to construct a reliability model reflecting the importance of different units,and the weight value is obtained by constructing a fuzzy judgment matrix,Directly reflected in the system reliability,based on which to assess the reliability of industrial robot systems.