| 基于综合集成方法的设备故障诊断及其应用 |
| |
| 引用本文： | 叶含瑞,张玲玲,季续国.基于综合集成方法的设备故障诊断及其应用[J].科技促进发展,2022,18(3):425-436. |
| |
| 作者姓名： | 叶含瑞 张玲玲 季续国 |
| |
| 作者单位： | 中国科学院大学经济与管理学院;数字经济监测预测预警与政策仿真教育部哲学社会科学实验室(培育)(中国科学院大学);中国科学院大数据挖掘与知识管理重点实验室,中国科学院大学经济与管理学院;数字经济监测预测预警与政策仿真教育部哲学社会科学实验室(培育)(中国科学院大学);中国科学院大数据挖掘与知识管理重点实验室,中科知程科技有限公司 |
| |
| 基金项目： | 年国家自然科学面上项目（72071194）：基于知识图谱和链路预测的推荐系统及在设备健康管理中的应用研究,负责人：张玲玲。 |
| |
| 摘 要： | 设备故障的诊断涉及到知识工程、知识管理、数据挖掘、专家系统、可靠性工程等多领域知识,常常需要综合定性和定量方法共同进行诊断。本研究从综合集成法的思路出发,提出了一种定性定量结合的设备故障诊断方法,并以铁路CIR设备为例,综合知识图谱、文本分类、贝叶斯网络等技术,应用于设备故障知识管理、故障定位、故障诊断推理。本研究表明,综合集成方法对复杂设备故障知识的管理和诊断实践提供了有效指导,同时能为维修人员和管理人员进行设备健康管理工作提供决策支持。
|
| 关 键 词： | 综合集成方法 故障诊断 知识图谱 |
| 收稿时间： | 2021/12/21 0:00:00 |
| 修稿时间： | 2022/3/21 0:00:00 |
Integrated Equipment Fault Diagnosis Method and Application |
| |
| yehanrui,zhanglingling and jixuguo.Integrated Equipment Fault Diagnosis Method and Application[J].Science & Technology for Development,2022,18(3):425-436. |
| |
| Authors: | yehanrui zhanglingling and jixuguo |
| |
| Institution: | School of Economics and Management, University of Chinese Academy of Sciences; MOE Philosophy and Social Science Laboratory of Digital Economic Monitoring, Forecasting, Early Warning, and Policy Simulation(Cultivation, University of Chinese Academy of Sciences); Key Laboratory of Big Date Mining and Knowledge Management, CAS, Beijing,School of Economics and Management, University of Chinese Academy of Sciences;MOE Philosophy and Social Science Laboratory of Digital Economic Monitoring, Forecasting, Early Warning, and Policy Simulation(Cultivation, University of Chinese Academy of Sciences);Key Laboratory of Big Date Mining and Knowledge Management, CAS, Beijing,Visionary Intelligence technology Co. Ltd. |
| |
| Abstract: | Equipment fault diagnosis is a system engineering problem involving knowledge engineering, knowledge management, data mining, expert system, reliability engineering, and other fields of knowledge. Starting from the idea of the meta-synthesis method, this study put forward a qualitative and quantitative method for equipment fault diagnosis, and took Cab Integrated Radio(CIR) Communication Equipment as an example to apply a combination of the knowledge graph, text classification, Bayesian network, and other technologies to equipment fault knowledge management, fault location, and fault diagnosis. This study shows that the meta-synthesis method provides effective guidance for the knowledge management and fault diagnosis of complex equipment. It also provides decision support for maintenance personnel and management personnel for equipment health management. |
| |
| Keywords: | Meta-Synthesis method fault diagnosis knowledge graph |
|
| 点击此处可从《科技促进发展》浏览原始摘要信息 |
| 点击此处可从《科技促进发展》下载免费的PDF全文 |
|
