| 基于数据库与专家系统的柴油机故障诊断软件开发 |
| |
| 引用本文： | 金炳哲,陈冬梅,徐在强.基于数据库与专家系统的柴油机故障诊断软件开发[J].柴油机,2017,39(1):42-45. |
| |
| 作者姓名： | 金炳哲 陈冬梅 徐在强 |
| |
| 作者单位： | 1. 91202部队,辽宁葫芦岛,125000;2. 七一一研究所,上海,201108 |
| |
| 摘 要： | 基于对某型实船柴油机历史运行数据以及系统结构的分析,借助专家系统开展柴油机故障诊断软件的设计和开发。着重介绍了数据库的构成及数据挖掘技术,对实现该故障诊断系统的关键技术,如故障分类、贝叶斯网络推理诊断模型、基于SVM的柴油机故障诊断与预测以及专家系统进行了分析;并对该故障诊断系统的软件实现进行了描述。
|
| 关 键 词： | 柴油机 故障诊断系统 软件 数据库 |
| 收稿时间： | 2016/3/23 0:00:00 |
Development of Diesel Engine Fault Diagnosis Software Based onData Base and Expert System |
| |
| Jin Bingzhe,Chen Dongmei and Xu Zaiqiang.Development of Diesel Engine Fault Diagnosis Software Based onData Base and Expert System[J].Diesel Engine,2017,39(1):42-45. |
| |
| Authors: | Jin Bingzhe Chen Dongmei and Xu Zaiqiang |
| |
| Affiliation: | 91202 Unit, Liaoning Huludao 125000,Shanghai Marine Diesel Engine Research Institute, Shanghai 201108 and Shanghai Marine Diesel Engine Research Institute, Shanghai 201108 |
| |
| Abstract: | Based on the analysis of historical operation data and system structure of a ship''s diesel engine, the design and development of diesel engine''s fault diagnosis software was carried out with the use of expert system. The data base constitution and data mining technology are introduced in detail, and the key technologies to realize fault diagnosis, such as fault classification, Bayesian network reasoning and diagnostic model, diesel engine fault diagnosis and prediction based on SVM, as well as expert system are analyzed. Moreover, the software implementation of this fault diagnosis system is described. |
| |
| Keywords: | diesel engine fault diagnosis system software data base |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《柴油机》浏览原始摘要信息 |
|
点击此处可从《柴油机》下载全文 |
|
