| 汽轮发电机组网络化智能轴系监测系统研究 |
| |
| 引用本文： | 张勇,戈志华,牛玉广,胡宗宝.汽轮发电机组网络化智能轴系监测系统研究[J].汽轮机技术,2001,43(6):351-354. |
| |
| 作者姓名： | 张勇 戈志华 牛玉广 胡宗宝 |
| |
| 作者单位： | 1. 华北电力大学,
2. 广州员村电厂 |
| |
| 基金项目： | 国家电力公司重点学科建设研究项目 (D98B0 1)资助 |
| |
| 摘 要： | 系统智能诊断策略与兼具安全性与开放的系统网络体系是当前设备安全，经济运行监测系统发展的趋势。介绍了电站轴系监测系统基于改进的RBFNN故障诊断模型，系统可以准确判断多种机组轴系典型故障，并具备了判断新故障及不断修正样本的功能。系统采用Browser/Server网络体系，实现设备运行和在设备管理层，生产管理层及远端专家的的信息共享。
|
| 关 键 词： | 汽轮发电机组 轴系监测 神经网络 故障诊断 Browser／Server 网络体系 智能诊断 |
| 文章编号： | 1001-5884(2001)06-0351-04 |
| 修稿时间： | 2001年8月13日 |
The Research of Network Turbo-unit Shaft Monitor Based on the Advanced Diagnostic Theory |
| |
| ZHANG Yong ,GE Zhi hua ,NIU Yu guang ,HU Zong bao.The Research of Network Turbo-unit Shaft Monitor Based on the Advanced Diagnostic Theory[J].Turbine Technology,2001,43(6):351-354. |
| |
| Authors: | ZHANG Yong GE Zhi hua NIU Yu guang HU Zong bao |
| |
| Affiliation: | ZHANG Yong 1,GE Zhi hua 1,NIU Yu guang 1,HU Zong bao 2 |
| |
| Abstract: | Advanced diagnostic theory and the network structure with safety and openness are the development trend of the equipment monitor. A power station shaft monitor system based on the modified RBFNN diagnostic model is introduced in this paper. The diagnostic system can diagnosis not only some typical fault correctly, but also some new fault, and be of the function of modifying the sample continuously. The Browser/Server network structure made the operational factor information sharing on the level of equipment manager, production manager and remote expert. |
| |
| Keywords: | turbo-unit shaft diagnosis vibration network browser/server |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
