吉林大学学报(理学版) ›› 2019, Vol. 57 ›› Issue (5): 1207-1213.

• 计算机科学 • 上一篇    下一篇

一种生成不完备诊断模型的方法

王晓宇, 李闯, 王海燕   

  1. 吉林师范大学 计算机学院, 吉林 四平 136000
  • 收稿日期:2018-11-15 出版日期:2019-09-26 发布日期:2019-09-20
  • 通讯作者: 王晓宇 E-mail:wxyjldx@163.com

A Method of Generating Incomplete Diagnostic Model

WANG Xiaoyu, LI Chuang, WANG Haiyan   

  1. College of Computer, Jilin Normal University, Siping 136000, Jilin Province, China
  • Received:2018-11-15 Online:2019-09-26 Published:2019-09-20
  • Contact: WANG Xiaoyu E-mail:wxyjldx@163.com

摘要: 利用在线生成模型方法解决因建模不完备而产生的系统不可诊断问题. 该方法通过离线建立的可扩展模型和确定可诊断性时得到的最大观测长度, 在线判定是否存在不完备行为; 根据在线运行的历史数据和观测时间确定不完备行为并进行分类, 重新定义诊断模型并生成诊断; 取消了完备性假设, 当系统中存在未定义行为时, 可得到诊断结果而非盲目扩展, 因此建模过程中进一步减少了设备依赖性.

关键词: 基于模型诊断, 离散事件系统, 不完备模型

Abstract: Online model generation method was used to solve the problem of the undiagnosable system caused by incomplete modeling. The method determined whether there was the incomplete behavior online by establishing the extensible model offline and determining the maximum length of observations when diagnosablity was available. The incomplete behavior was determined and classified according to the historical data and observation time of online operation, and the diagnostic model was redefined and the diagnoses was generated. The completeness hypothesis was cancelled, when undefined behavior existed in the system, the diagnosis results could be obtained instead of blindly extending. Therefore, the device dependence was further reduced in the modeling process.

Key words: modelbased diagnosis, discrete event system, incomplete model

中图分类号: 

  • TP301.1