基于本体的矿井提升机主轴系统故障诊断方法  

Fault diagnosis method for mine hoist spindle system based on ontology

作　　者：赵旭荣 李娟莉[1,2,3] 王学文 ZHAO Xurong;LI Juanli;WANG Xuewen(College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China;Key Laboratory of Fully Mechanized Coal Mining Equipment of Shanxi Province,Taiyuan 030024, China;Post-doctoral Scientific Research Station, Shanxi Coking Coal Group Co.,Ltd., Taiyuan 030024, China)

机构地区：[1]太原理工大学机械工程学院,山西太原030024 [2]煤矿综采装备山西省重点实验室,山西太原030024 [3]山西焦煤集团有限责任公司博士后科研工作站,山西太原030024

出　　处：《工矿自动化》2019年第1期95-99,共5页Journal Of Mine Automation

基　　金：国家自然科学基金项目(51875386);山西省青年科技研究基金项目(201601D021084);山西省研究生教育改革研究课题(2017JG30)

摘　　要：针对传统矿井提升机故障诊断方法效率低、准确性差及诊断知识难以重用和共享等问题,提出了一种基于本体的矿井提升机主轴系统故障诊断方法。针对矿井提升机主轴系统故障原因多样化的特点,提出用三维坐标法系统总结各种故障现象及其故障原因,解决了故障总结不全面、原因分析不合理等问题;通过Protégé4.3软件建立故障诊断本体库,将故障现象、故障原因及其对应的逻辑关系作为知识存入本体库,解决了故障诊断知识共享和重用困难等问题,提高了故障诊断效率;通过SQL Server 2008数据库存取主轴系统监测数据,利用Java持久层应用程序接口JPA和Java应用程序接口Jena建立本体库与数据库的映射,实现了数据库与本体库数据的动态交换;最后通过本体库对监测数据进行分析,确定故障原因并定位故障源,实现故障诊断。实例分析结果表明,基于本体的矿井提升机主轴系统故障诊断方法提高了故障诊断的效率和准确性,且可靠性较高。In view of problems of low efficiency,poor accuracy and difficulty in reusing and sharing diagnostic knowledge of traditional fault diagnosis methods of mine hoist,a fault diagnosis method for mine hoist spindle system based on ontology was proposed.In view of diversification of fault causes of mine hoist spindle system,a three-dimensional coordinate method is proposed to summarize various fault phenomena and their causes,and the problems such as incomplete fault summary and unreasonable reason analysis are solved;fault diagnosis ontology library is established through Protégé4.3,and fault phenomenon,fault causes and their corresponding logical relationship are stored in ontology library as knowledge,which solves problems of knowledge sharing and reuse of fault diagnosis,and improves efficiency of fault diagnosis;SQL Server2008database is used to access monitoring data of the spindle system,and Java persistence layer application program interface JPA and Java application program interface Jena are used to establish mapping between ontology library and database,so as to realize dynamic data exchange of database and ontology library;finally the monitoring data is analyzed through ontology library to determine fault causes and locate fault sources,and then fault diagnosis is realized.The example analysis results show that the fault diagnosis method for mine hoist spindle system based on ontology improves efficiency and accuracy of fault diagnosis,and has high reliability.

关 键 词：矿井提升机 提升机主轴系统 故障诊断 本体 三维坐标法 

分 类 号：TD534[矿业工程—矿山机电]