| 模型故障诊断中测量点优选的一类期望熵法 |
| |
| 引用本文： | 林孔元,杨正瓴.模型故障诊断中测量点优选的一类期望熵法[J].天津大学学报(自然科学与工程技术版),1994,27(4):398-402. |
| |
| 作者姓名： | 林孔元 杨正瓴 |
| |
| 摘 要： | 基于“第１原理”的诊断方法,给出二个极优的测量点选择方法,其时间复杂性为０,算例表明通用性好,精确性高,与ｄｅ Ｋｌｅｅｒ法不同,文中使用二值的结构模型,用结构信息划分候选诊断。
|
| 关 键 词： | 故障诊断 模型论断法 熵 测量点 |
AN EXPECTED ENTROPY APPROACH TO OPTIMAL MEASUREMENTS IN MODEL-BASED DIAGNOSIS |
| |
| Lin Kongyuan, Yang Zhengling.AN EXPECTED ENTROPY APPROACH TO OPTIMAL MEASUREMENTS IN MODEL-BASED DIAGNOSIS[J].Journal of Tianjin University(Science and Technology),1994,27(4):398-402. |
| |
| Authors: | Lin Kongyuan Yang Zhengling |
| |
| Institution: | Dept. of Electric Engineering & Automation |
| |
| Abstract: | iagnosis process from "first principle" consists of two distinct phases. The objective of the first phase is to identify candidates, and the second phase aims at the selection of measuring points. Two optimal algorithms for the Second phase are given in this paper. They are accurate and can be used widely to select optimal measurements in the time 0(N'). Differing fromde Kleer's algorithms, our method uses structure information to divide the candidates. with a binary structure model. |
| |
| Keywords: | diagnosis information entropy model-based diagnosis |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
