The Modeling Method Research For Performance Degradation And Failure Of Robotic Arm

With the rapid development of modern cutting-edge technology, robotics gotthe unprecedented vigorous blossom, which has been widely applied in variousareas of national economy. Due to the gradually decline of comprehensiveperformance of robots, the reliability and stability cannot be guaranteed, whichleads to some uncertain factors existing in the process of its use, so its wideapplication is facing a severe test. Therefore, from the perspective of improvingthe reliability of robots, transition manipulator system which belongs to industryrobot is chosen as the research object, its performance indicators analyzed at thesame time to evaluate its working reliability. Keeping the high reliability oftransition manipulator system, not only can improve the work efficiency, but alsocan avoid safety accident and ensure the smooth progress of the productionprocess.First of all, make reliability analysis for the transition manipulator systembased on the failure mode. Based on FMEA (Failure Mode and Effect Analysis),from the perspective of the whole system, analysis the structure and function of thetransition manipulator system, finds out the possibility of failure mode of the partsin the system and evaluates its risk priority number. Based on FTA (Fault TreeAnalysis), the weak links of the system can be found, and evaluates its importantdegree as well as takes corresponding improvement measures, to ensure th e highreliability of the manipulator system in the operation process.Secondly, evaluates the reliability of transition manipulator system based onthe Monte Carlo method. During the working process of the manipulator system,clamping force plays of the manipulator system plays an important role in itsworking reliability. By accurately describe clamping force characteristics ofmanipulator system, pneumatic system of the manipulator system is analyzedbased on Monte Carlo method, the fluctuation change of the pneumatic pressure isdescribed, which realize the reliability assessment of working reliability of thesystem.Then, based on the gray BP neural network, performance degradation trend ofthe transition manipulator system is evaluated. Pressure change of the pneumaticsystem is recognized as a grey system containing unknown information based onthe grey theory, its data is considered as the gray value, and use the gray BP neuralnetwork to forecast the pressure value. The trend of the pressure value is utilized toevaluate performance degradation of the manipulator system. Finally, VC++is utilized for the development of the FMEA and FTA modules,and makes reliability analysis for the manipulator system. Based on the MFC(Microsoft Foundation Class), the development of FMEA and FTA module, notonly improves the efficiency and accuracy of system reliability analysis, but alsoprovides a visualization tool for system reliability analysis.