基于生命周期数据的智能产品故障分析方法  

Fault Analysis Method of Intelligent Product Based on Life Cycle Data

作　　者：林蒙蒙 陈贤[1,2] 王柯人 綦法群 陈一镖 Lin Mengmeng;Chen Xian;Wang Keren;Qi Faqun;Chen Yibiao(School of Mechanical and Electrical,Wenzhou University,Wenzhou 325035,China;Institute of Pingyang Intelligent Manufacturing,Wenzhou University,Pingyang 325400,China)

机构地区：[1]温州大学机电工程学院,浙江温州325035 [2]温州大学平阳智能制造研究院,浙江平阳325400

出　　处：《煤矿机械》2022年第4期161-164,共4页Coal Mine Machinery

基　　金：浙江省自然科学基金资助项目(71501143);浙江省教育厅科研项目(Y202146596);温州市重大科技创新攻关项目(ZG2020028);浙江省大学生新苗项目(XMS2009035);温州大学创新创业训练计划项目(JWSC2020109)。

摘　　要：为了提高智能产品自身数据在故障预测和运维管理时的利用率,基于生命周期数据的增值应用,提出了一种智能产品生命周期数据一体化集成方法。首先构建了包括数据收集与基准数据、数据一体化集成和大数据故障预测分析3个模块的体系架构;其次基于智能传感器、大数据分析、物联网技术及层次分析法,研究了支撑该体系架构有效运行和实施的关键技术,包括生命周期数据收集、处理、分析等;最后以数控机床角度头故障为例,仿真验证了所提方法的有效性和可行性。In order to improve the utilization rate of intelligent product own data in fault prediction and operation and maintenance management,an integrated life cycle data integration method based on value-added application of life cycle data was proposed.The architecture of three modules of data collection and benchmark data,data integration inheritance and big data fault prediction and analysis was constructed at first.Then based on intelligent sensor,big data analysis,internet of things technology and analytic hierarchy process,the key technologies to support the effective operation and implementation of the architecture were investigated,including life cycle data collection,processing,analysis and other.Finally,took the faults of a numerical control machine angular head as example to verify the effectiveness and feasibility of the proposed method by simulation.

关 键 词：智能产品 生命周期 故障分析 数据集成 层次分析法 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]