基于推理机的机械臂故障诊断专家系统优化设计  

Optimal Design of Manipulator Fault Diagnosis Expert System Based on Inference Engine

作　　者：刘雯[1] LIU Wen(College of Mechanical Electrical of Xianyang Vocational Technical College,Xi an 712000,China)

机构地区：[1]咸阳职业技术学院机电(技师)学院,陕西西安712000

出　　处：《液压气动与密封》2023年第2期3-6,共4页Hydraulics Pneumatics & Seals

基　　金：陕西省双高项目专项项目(2020SGB09);2020年陕西省职教学会关于国家“双高计划”建设学校课程思政专项研究课题(SGKCSZ2020-1514)。

摘　　要：故障诊断系统是机械臂不可或缺的关键系统,针对机械臂故障诊断的非线性时变特性导致故障诊断效率下降的问题,在机械臂系统结构基础上,构建机械臂故障预测模型,输出故障特征比对后的故障残差统计信息,设计基于诊断规则推理机的专家系统,并借助AMESim硬件在环故障注入平台构建了实验环境,通过注入不同故障信号,模拟机械臂的多样故障,实验数据分析证明,设计的故障诊断专家系统能够高效地准确地检测出机械臂的故障。Fault diagnosis system is an indispensable key system of manipulator.Aiming at the problem that the nonlinear time-varying characteristics of manipulator fault diagnosis lead to the decline of fault diagnosis efficiency,based on the system structure of manipulator,the fault prediction model of manipulator is constructed,the statistical information of fault residual after fault characteristic ratio is output,and an expert system based on diagnosis rule inference engine is designed,The experimental environment is constructed with the help of AMESim hardware in the loop fault injection platform.By injecting different fault signals,the various faults of the manipulator are simulated.The experimental data analysis shows that the designed fault diagnosis expert system can effectively and accurately detect the faults of the manipulator.

关 键 词：故障诊断系统 机械臂 故障预测模型 残差统计 推理机 专家系统 

分 类 号：TP241[自动化与计算机技术—检测技术与自动化装置]